Motion Recruitment Partners LLC
Senior Manager of Data Engineering/ Databricks/ Remote
Motion Recruitment Partners LLC, Dallas, Texas, United States, 75215
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.
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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.
#J-18808-Ljbffr