Senior Manager of Data Engineering​/Databricks​/Remote

We are building a modern, enterprise‑scale data platform to support analytics, data science, and operational decision‑making across a highly regulated, mission‑critical domain. As our data ecosystem matures, this role exists to lead the design, build, and evolution of a cloud‑based lakehouse platform and the team responsible for it.

We are seeking a Senior Manager of Data Engineering who brings strong technical judgment, hands‑on architectural experience, and people leadership. You will lead a growing team building scalable data pipelines on Databricks across Azure (primary) and AWS (secondary), while establishing the standards, processes, and reliability required for long‑term enterprise use.

• Own the data engineering architecture and technical roadmap from ingestion through consumption.
• Design and operate scalable batch and streaming pipelines using Databricks, Delta Lake, and cloud‑native services.
• Lead cross‑cloud data solutions across Azure and select AWS workloads.
• Partner with analytics, data science, and business teams on data modeling, semantic layers, and data accessibility.
• Build and mentor a high‑performing data engineering team; set standards for code quality, CI/CD, monitoring, and observability.
• Implement governance, lineage, and data quality practices aligned with enterprise requirements.
• Drive automation and Dev Ops practices in collaboration with platform engineering.

• 5+ years of data engineering experience, including 2+ years in a leadership role.
• Deep hands‑on experience with Databricks and Azure; AWS experience preferred.
• Strong knowledge of lakehouse architectures, ELT/ETL, and batch/streaming patterns.
• Proficiency in Python, SQL, and Spark, including performance tuning.
• Expertise in analytical data modeling (star/snowflake schemas, fact/dimension design).
• Experience building reliable, scalable pipelines for enterprise datasets.
• Strong communication skills and the ability to translate strategy into execution.