Migrations Solutions Architect, Sales

Sr. Forward Deployed Engineer

Databricks

CSQ327R248 As a Forward Deployed Engineer in our Forward Deployed Engineering team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Forward Deployed Engineering. The impact you will have: * You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects * Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications * Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks * Provide an escalated level of support for customer operational issues. * You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: * 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. * Comfortable writing code in either Python or Scala. * Experience with technical project delivery - managing scope and timelines. * Documentation and white-boarding skills. * Experience working with clients and managing conflicts. * Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20 - 30% of the time * Nice to have: Databricks Certification   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.

Senior Technical Solutions Manager

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is at a crucial point in our journey, and we are looking for a Lead Technical Solutions Manager based in Australia to drive the success of Reddit Ads across the APAC market. This role bridges two critical pillars within our organization: Core Ads Technical Support and Advanced Signals Implementation. Sitting at the intersection of Sales, Product, and Engineering, you will serve as the premier regional subject matter expert (SME). You will handle deep diagnostic investigations to unblock business-critical revenue , while simultaneously driving white-glove, strategic conversions onboarding (CAPI and Pixel) for top-tier regional advertisers. As a Lead Technical Solutions Manager, you are expected to deliver system-level impact, translating field realities into product roadmap improvements and automated internal tools. Please note that this role is required to work in office 1-2 days per week. WHAT YOU’LL DO: * Technical Troubleshooting: Execute advanced diagnostic procedures to resolve complex, ambiguous campaign delivery, tracking discrepancies, and auction performance blockers across Reddit’s ad platform. Partner with Ads Engineering to drive resolutions within specified SLAs. * Signals & CAPI Onboarding: Lead end-to-end technical discovery and migration calls with priority APAC advertisers. Assess their technical stacks, configure event mapping, and guide them through seamless Conversions API (CAPI) and pixel integrations. * Quality Assurance & Debugging: Perform meticulous QA and payload validation to ensure accurate, deduplicated, and high-quality event data flows between client databases and Reddit's platform. * Cross-Functional Strategy & Roadmap Influence: Aggregate regional ticket trends and advertiser friction points. Package technical findings into concise business narratives to influence Product and Engineering roadmaps, steering product readiness for localized tentpole moments. * Scalability & Tooling Strategy: Identify operational inefficiencies and architect automated troubleshooting tools, internal runbooks, or dashboards (e.g., via Hex, Looker, SQL) to reduce white-glove dependencies and drive systemic queue reduction. * On-Call Support: Participate in a high-level senior rotation schedule to provide support for critical, revenue-blocking platform issues. REQUIRED QUALIFICATIONS: * Experience: 8+ years of total experience in ad tech, solutions engineering, sales engineering, or a highly consultative technical client-facing capacity. * Signal Expertise: Hands-on experience with server-to-server integrations, Conversions API (CAPI), web pixels, partner integrations, data mapping, and web privacy structures. * Analytical Rigor: Highly adept at data analysis, handling network debugging tools (e.g., Charles Proxy, Sentry, LogRocket), and writing robust database queries (SQL). * Web Technologies: Strong fundamental understanding of web architecture and standard digital protocols, including JavaScript, HTML, CSS, and XML concepts. * Industry Knowledge: Deep fluency in the digital advertising ecosystem, including ad serving pipelines, attribution modeling (VTC/CTC), auctions/bidding dynamics, and third-party measurement (MMPs). * Communication Mastery: Exceptional verbal and written communication skills with a proven track record of translating complex technical bugs into clear, revenue-justified stories for cross-functional leads and C-suite client executives. * Education: BA/BS degree in Computer Science, Data Analytics, a related technical field, or equivalent practical experience. BENEFITS: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Private Health Insurance with Extras * Superannuation * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave  #LI-Hybrid In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Specialist Solutions Architect

Databricks

FEQ327R358 As a Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. * Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. * Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. * Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. * Provide tutorials and training to improve community adoption (including hackathons and conference presentations). * Contribute to the Databricks Community. What we look for: * 8+ years of experience in a technical role with deep expertise across the following areas: * Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV). * Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads. * Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection. * Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs. * Deep expertise across multiple core data engineering domains, including: * Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments. * Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion. * Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). * Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration. * Production programming experience in SQL and at least one of the following: Python, Scala, or Java. * Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable. * Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 3+ years of customer-facing experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific milestones within 6 months of hire. * Willingness to travel up to 30% as needed. 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.