Data/AI Solutions Architect

Infinite Lambda

ROLE OVERVIEW   The Data/AI Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.   The position is titled Data/AI Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda’s solutions meet client needs effectively.   LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.   DETAILED RESPONSIBILITIES   PROSPECTIVE CLIENT ENGAGEMENT * Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle; * Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively; * Work closely with the sales team to foster collaboration and develop compelling proposals that meet client expectations; * Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals; * Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity; * Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.   LEAD SALES ENGINEER STRATEGY * Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions; * Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends; * Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients; * Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning; * Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness; * Deepen subject-matter knowledge in Infinite Lambda’s key industry verticals, ensuring a strong understanding of client needs and market dynamics.   ADDITIONAL DUTIES * Work with Infinite Lambda’s executive team to help steer the company’s overall strategy in a positive direction, providing insights from solutions architect perspectives. * Represent Infinite Lambda at external conferences and events, promoting the company’s brand, thought leadership, and expertise in data and cloud engineering.   REQUIREMENTS * Education: A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred; * Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors; * Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential; * Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices; * Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders; * Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion; * Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships; * Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role. * Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...   INTERVIEW PROCESS * Intro call with TABP: 45-min * Interview with General Manager: 45-min * Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min * Cultural Chat with CEO: 45-min   Why join Infinite Lambda * We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture; * You work autonomously here in a wholesome environment and get as much paid holiday as you need; * The projects are diverse and give you plenty of opportunity to experiment with new tech; * The benefits are plenty, with work-from-home budget, a company MacBook and more on the list. ▶ ▶ Submit your CV in English in PDF. ▶ ▶ Mind that as we are an international team, internal communication is in English. ▶ ▶ In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins. We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.   Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

Databricks

REQ# FEQ227R44 Solutions Architect – Data & AI (Presales)  Please note that this role requires you to be based in Denmark. At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions. WHAT YOU’LL DO * Partner with Account Executives to drive technical sales cycles and customer outcomes * Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders * Build and deliver proof-of-concepts, demos, and solution prototypes using real data * Translate business requirements into practical, scalable data and AI solutions * Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end * Work through technical challenges with customers, iterating and resolving issues as they arise * Contribute reusable assets, patterns, and best practices that accelerate adoption across customers WHAT WE’RE LOOKING FOR CUSTOMER-FACING MINDSET * Experience working with customers in a presales, consulting, or advisory capacity * Ability to communicate complex topics to both technical and non-technical audiences * Comfortable leading discussions that connect business goals to technical decisions HANDS-ON TECHNICAL FOUNDATION * Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets * Understanding of data pipelines and modern data architectures * Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) * Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected DATA & AI UNDERSTANDING * Familiarity with analytics, data science, or machine learning workflows * Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) * Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems ARCHITECTURE & PLATFORM UNDERSTANDING * Familiarity with cloud platforms and data technologies * Ability to design solutions that consider scalability, performance, reliability, and data volumes * Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints WHAT MAKES YOU SUCCESSFUL IN THIS ROLE * You are comfortable switching between business dialogue and technical execution * You don’t just describe solutions — you can build, validate, and iterate on them in practice * You take ownership of technical challenges and push problems forward, even when things are not working as expected * You apply structured thinking in discovery and can connect requirements to scalable technical solutions * You understand that AI solutions depend on solid data foundations * You are curious and continuously deepen your technical expertise 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.

Databricks

REQ# FEQ427R66 Solutions Architect – Data & AI (Presales)  At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions. WHAT YOU’LL DO * Partner with Account Executives to drive technical sales cycles and customer outcomes * Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders * Build and deliver proof-of-concepts, demos, and solution prototypes using real data * Translate business requirements into practical, scalable data and AI solutions * Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end * Work through technical challenges with customers, iterating and resolving issues as they arise * Contribute reusable assets, patterns, and best practices that accelerate adoption across customers WHAT WE’RE LOOKING FOR CUSTOMER-FACING MINDSET * Experience working with customers in a presales, consulting, or advisory capacity * Ability to communicate complex topics to both technical and non-technical audiences * Comfortable leading discussions that connect business goals to technical decisions HANDS-ON TECHNICAL FOUNDATION * Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets * Understanding of data pipelines and modern data architectures * Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) * Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected DATA & AI UNDERSTANDING * Familiarity with analytics, data science, or machine learning workflows * Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) * Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems ARCHITECTURE & PLATFORM UNDERSTANDING * Familiarity with cloud platforms and data technologies * Ability to design solutions that consider scalability, performance, reliability, and data volumes * Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints WHAT MAKES YOU SUCCESSFUL IN THIS ROLE * You are comfortable switching between business dialogue and technical execution * You don’t just describe solutions — you can build, validate, and iterate on them in practice * You take ownership of technical challenges and push problems forward, even when things are not working as expected * You apply structured thinking in discovery and can connect requirements to scalable technical solutions * You understand that AI solutions depend on solid data foundations * You are curious and continuously deepen your technical expertise 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.