Senior Data Engineer
Adobe
- San Jose, Arizona, United States
- San Jose, Arizona, United States
À propos
Key Responsibilities 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.
Qualifications
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.
Preferred Qualifications
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.
Compensation The U.S. pay range for this position is $139,000 – $257,550 annually, varying by location. In California, the pay range is $177,900 – $257,550.
Equal Employment Opportunity Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Accommodations Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
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Compétences linguistiques
- English
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