Motion Recruitment | Jobspring | Workbridge

Senior Manager of Data Engineering/ Databricks/ Remote

Dallas, TX

Hybrid

Full Time

$180k - $205k

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.

What you will do
  • 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 DevOps practices in collaboration with platform engineering.

What you bring
  • 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.

Posted by: Joshua Cairns

Specialization: