Senior Manager of Data Engineering/ Databricks/ Remote
Dallas, TX
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.
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Design and operate scalable batch and streaming pipelines using Databricks, Delta Lake, and cloud-native services.
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Lead cross-cloud data solutions across Azure and select AWS workloads.
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Partner with analytics, data science, and business teams on data modeling, semantic layers, and data accessibility.
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Build and mentor a high-performing data engineering team; set standards for code quality, CI/CD, monitoring, and observability.
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Implement governance, lineage, and data quality practices aligned with enterprise requirements.
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Drive automation and DevOps practices in collaboration with platform engineering.
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5+ years of data engineering experience, including 2+ years in a leadership role.
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Deep hands-on experience with Databricks and Azure; AWS experience preferred.
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Strong knowledge of lakehouse architectures, ELT/ETL, and batch/streaming patterns.
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Proficiency in Python, SQL, and Spark, including performance tuning.
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Expertise in analytical data modeling (star/snowflake schemas, fact/dimension design).
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Experience building reliable, scalable pipelines for enterprise datasets.
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Strong communication skills and the ability to translate strategy into execution.