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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Adobe Systems - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $177,900.0 - $257,550.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Amazon Web Services, Data Analysis, Microsoft Azure, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Integration, Data Transformation, Dimensional Modeling, Entity Relationship Models, Data Flow Control, Software Architecture, Power BI, SQL Databases, Tableau (Software), Cloud Platform System, Snowflake, Apache Spark, Adobe, Data Lineage, Data Analytics, Data Management, Looker Analytics, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Data-Engineer_R170365 ## About the Role * 5+ years of experience in data engineering, data architecture, or a closely related field. * Proficiency in unified data platforms like Databricks, Snowflake. * Proficiency in SQL and at least one modern data transformation framework (e.g., dbt, Spark, Dataflow). * Hands-on experience building and maintaining high-capacity data integration solutions in cloud environments (AWS, Azure, or GCP). * Experience with semantic modeling and BI consumption layers, including familiarity with tools such as Power BI, Tableau, or Looker. * Demonstrated ability to define and detail data ownership models, RACI frameworks, or data governance policies. * Strong communication skills - able to clearly explain data concepts and architectural decisions to technical and non-technical audiences., * Experience with product usage / event data (e.g., Amplitude, Segment, Adobe Analytics, or custom instrumentation). * Familiarity with data contracts, schema registries, or data mesh principles. * Experience with Power BI dataflow, datasets, or enterprise-scale report delivery. About Adobe ## Description We are looking for a Senior Data Engineer to join our Data & Analytics Engineering team. In this role, you will develop and maintain scalable data pipelines that support product usage reporting and enterprise analytics across our products. You will operate where data architecture, data quality, and multi-functional ownership meet to ensure data is trusted, validated, and reliably delivered from product instrumentation to executive dashboards., Data Architecture & Pipeline Engineering * Build and implement end-to-end data pipelines spanning product instrumentation, ingestion, transformation, semantic modeling, and reporting layers (e.g., Power BI). * Develop and maintain documentation for source-of-truth datasets, including ownership of metric definitions, data joins, schema transformations, and lineage tracking. * Lead data modeling efforts, including entity relationship build, dimensional modeling, and consumption-layer optimization. Data Governance & Ownership * Establish and maintain clear ownership models across the data lifecycle - from ingestion to semantic model to reporting. * Define RACI frameworks for data accountability, clarifying which roles are responsible, accountable, consulted, and informed at each stage. * Ensure downstream teams are proactively notified and protected when upstream schema or logic changes occur. Data Quality & Validation * Build and enforce data validation strategies at the pipeline level and at semantic/reporting consumption layers. * Define and implement quality gates that must pass before dashboards or metrics are considered production-ready. * Build monitoring, alerting, and anomaly detection systems to proactively surface data quality issues. * Conduct root-cause analysis on data incidents and drive resolution across teams. Collaboration & Partner Enablement * Act as a technical point of contact between Data Engineering, Product, Analytics, and BI teams. * Mentor junior data engineers and contribute to team standards and ongoing skill development. * Participate in architectural reviews and sign-off processes for new data products and features. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)