Director, Professional Services - Architecture & Data Engineering Services

Databricks

CSQ227R25 At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform. As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon. This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks. You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization. You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers. The impact you will have: * Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers. * Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts. * Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. * Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. * Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise. * Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals. * Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog). * Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams: * Key use cases moving from 'win' to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of LH vision) * Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization * Executive and operational governance * Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM * Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team What we look for: * 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Experience understanding architecture related distributed data systems, specifically within one of the following: * Data Engineering technologies (e.g. Spark, Hadoop, Kafka) * Data Warehousing (e.g. SQL, OLTP/OLAP/DSS) * Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO) * Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth. * Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally * Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaing strong CxO level relationship * Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives * Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Building and steering to a value case - business value consulting and realization * Quota ownership, achievement and track record of great performance against objective target * Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Artefact

WHO ARE WE? Artefact is a new generation of a data service provider, specialised in data consulting and data-driven digital marketing. Our purpose? Every day we boost our clients’ data transformation into business impact across the entire value chain of organisations.  Our strength? Our data services stand on a double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan...   Artefact’s success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts.   Artefact is : * 13 offices in Paris, London, Shanghai, Dubai... * 900 employees * 4 practices: Data Consulting, Data Marketing, Activation and Creation   WHAT YOU WILL BE DOING: KEY RESPONSIBILITIES As a Data Director, your role will encompass: Strategic Leadership and Management * Lead and expand the data science team, ensuring alignment with the company's strategic objectives. * Develop and oversee the execution of ambitious data transformation projects, ensuring they meet client needs and business goals. * Drive collaboration across different divisions—such as Activation, Creativity, and Strategy—to deliver comprehensive, integrated solutions that enhance client satisfaction and service delivery. Client Engagement and Relationship Management * Build and maintain senior-level relationships with clients, becoming a trusted advisor for their data strategy and transformation efforts. * Regularly present insights and strategic recommendations to clients and internal stakeholders, showcasing the value and impact of data-driven decision-making. Operational Excellence and Innovation * Ensure the successful delivery of data projects, setting high standards for timeliness and quality. * Spearhead the adoption of cutting-edge data science and data engineering technologies, methodologies, and practices. * Promote a culture of continuous improvement and learning within the data science team, encouraging innovation and experimentation. Team Development and Thought Leadership * Mentor and develop team members, fostering a collaborative and empowering environment. * Act as a thought leader in data science, contributing to the broader data science community and enhancing Artefact's reputation in the industry. * Ensure the team’s technical capabilities align with industry standards and emerging technologies, facilitating ongoing professional development and training.   QUALIFICATIONS: EDUCATION & EXPERIENCE REQUIRED * A Master’s or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field. * Over 8 years of experience in leadership roles within data science, demonstrating a proven track record of managing teams and delivering impactful data-driven solutions. * Exceptional knowledge of data processing, data modeling, algorithms, and data architecture, with hands-on experience in managing large-scale projects. * Strong leadership skills, with the ability to inspire, motivate, and guide team members towards achieving business and personal growth goals. * Excellent communication and interpersonal skills, capable of engaging effectively with all levels of the organization and external clients. In addition, you have the knowledge in one or more of the following technologies: * Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS * You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key) * Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)   * ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)  * Web application (R-Shiny, Python Flask) that you have industrialized WHAT WE ARE LOOKING FOR * A Doer: you get things done and inspire your team to do the same * An Analyst: you LOVE data and think every company should take their decisions based on facts * A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions * A Mentor: your clients and colleagues naturally seek you out for advice * An Adventurer: you’re an entrepreneur constantly looking for business opportunities WHY YOU SHOULD JOIN US * Artefact is the place to be: come and build the future of marketing * Progress: every day offers new challenges and new opportunities to learn * Culture: join the best team you could ever imagine * Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!   COME JOIN US!

Baringa

ABOUT BARINGA  Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.   Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice.  This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale.   Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions.   What you will be doing  As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients.   Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that.   Key responsibilities span the following areas.   Engagement Leadership:  * Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes.  * Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development.  * Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners.  * Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout.  * Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation.  * Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead.   Business Development & Bid Support:  * Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements.  * Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs.  * Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow-on engagement.  * Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI and solutions engineering services.   Technical Architecture & Delivery:  * Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities.  * Provide hands-on technical direction where required – reviewing designs, code and delivery artefacts to maintain quality standards across the engagement.  * Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof-of-concept thinking to real business impact at scale.  * Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record.  AI/ML Specialism  You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others:   Agentic AI & LLM Engineering:  * Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale.  * Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks.   Machine Learning Engineering:  * End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.  * Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI).  Platform & Cloud Engineering:  * Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD.  * Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices.   Software Engineering:  * Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR.  * Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies.  * Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development.   * A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself.   Your Skills and Experience   We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion.  * 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes.  * Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs.  * SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains.  * Proven ability to build and lead high-performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level.  * Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility.  * Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer).  * Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.  If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people-first culture that values both technical rigour and human connection we would love to hear from you.  JOIN US All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.   BARINGA PRIVACY NOTICES For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com