Senior Data Engineer

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As part of the Data Tribe, the Senior Data Engineer plays a key role in designing, building, and operating high-quality data pipelines and data products that serve multiple business domains.

They work closely with Product Managers, BI Analysts, the Staff Data Engineer, and the Data Platform Manager to deliver reliable, scalable, and well-engineered data solutions on the data platform.

YOUR ROLE

As Senior Data Engineer Your Key Responsibilities Are

Design & Build High-Quality Data Pipelines
Develop scalable batch and micro-batch pipelines using the platform's standard technologies (e.g. Databricks, Spark, SQL, Delta Lake, Azure).
Transform and model data to support analytics, reporting, and operational use cases.
Implement data pipelines aligned with the platform's architecture, standards, and best practices.
Contribute to the design of reusable components, frameworks, and patterns.
Ensure Reliability & Smooth Operations of Data Products
Deploy and maintain data pipelines in production according to run protocols.
Ensure strong monitoring, alerting, and observability (logs, metrics, lineage).
Investigate incidents, perform root-cause analysis, and implement preventive improvements.
Optimize performance, cost, and pipeline efficiency.
Apply Engineering Standards & Best Practices
Follow coding and design standards defined by the Staff Data Engineer and Platform Manager.
Write clean, documented, tested, and maintainable code.
Contribute to CI/CD for data pipelines, automation, and deployment practices.
Participate in peer reviews and support engineering consistency across domains.
Collaborate with Product & BI Teams
Work closely with Product Managers and domain teams to understand data needs and translate them into implementation designs.
Support BI Analysts with performant data models, certified datasets, and quality improvements.
Provide technical guidance on feasibility, design options, and trade-offs.
Support Continuous Improvement & Technical Debt Reduction
Identify and help reduce technical debt in pipelines and data models.
Contribute to refactoring and modernization initiatives.
Participate in cross-team improvements related to platform features, tooling, and processes.

Expected Outcomes

Reliable, performant, and maintainable data pipelines.
Production issues reduced and resolved faster.
Data models that are easy to consume for BI and downstream products.
Clear documentation and strong collaboration with product and domain teams.
Contribution to a consistent engineering culture across the Tribe.

YOUR PROFILE

Experience: 5+ years in data engineering or similar role.
Technical Skills:
Strong expertise in SQL, Python, Spark/Databricks.
Experience with cloud data platforms (Azure preferred).
Knowledge of data modeling, orchestration, CI/CD, and observability.
Good understanding of data quality, lineage, cataloging, and governance concepts.
Soft Skills:
Strong communication and teamwork across tech and product.
Ability to work autonomously while contributing to a shared vision.
Problem-solving mindset and appetite for continuous improvement.

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