Senior Data Engineer
Indexed description
Recruiting for this role ends on 12/31/2026.
Work You'll Do/Responsibilities
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
- Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
- Architect end-to-end data solutions across dev → UAT → prod environments using Unity Catalog
- Lead and drive design discussions with client architects and other counterparts
- Collaborate with different teams on data contracts and schema agreements
- Lead design and optimization of high-volume data pipeline.
- Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
- Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
- Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
- Conduct root cause analysis on production incidents and implement permanent fixes
- Mentor junior and mid-level engineers through code reviews and pair programming
- Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)
Required Qualifications
- Python, PySpark, Spark SQL, SQL Server
- Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
- Databricks (Delta Lake, Unity Catalog, Workflows)
- Apache Airflow
- Git / Azure DevOps
- Deep Spark internals (DAG optimization, spill analysis, skew handling)
- Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
- Unity Catalog governance (row/column security, external locations, system tables)
- IaC - Terraform, Azure ARM templates
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM .
Additional Requirements
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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