Associa · 16 hours ago
Data Engineer Manager
Richardson, TX
Full-time
Onsite
Senior Level
5+ years expAssocia is seeking an experienced Data Engineering Manager to lead a high-performing team that designs, builds, and operates their enterprise data platform. This role involves hands-on technical leadership, people management, and collaboration with stakeholders to deliver reliable data products that support analytics and data science initiatives.
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Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and SQL
Architect and implement data ingestion patterns for batch, streaming, and hybrid workloads
Develop and optimize solutions on Databricks, leveraging Spark, Delta Lake, Unity Catalog, DLT, and Workflows
Define and implement medallion (Bronze/Silver/Gold) architecture patterns for transformation and governance
Establish and enforce data quality standards, monitoring, alerting, and observability across the data platform
Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver reliable data products
Contribute to and maintain data platform architectural diagrams and extensibility guidance
Identify and partner with a Product Owner to establish, curate, and execute a transformation backlog
Co-organize and co-host Sprint ceremonies; lead team solutioning sessions and provide estimates
Lead technical decision-making and prepare demos/walk-throughs for technical and non-technical audiences
Coordinate with DevOps and adjacent teams on code merges, testing, and release management
Document, organize, and lead deployments from development through production; ensure best practices and guidelines are adhered to
Maintain and report scrum metrics and feature forecasts daily; proactively escalate risks and recommendations to the VP of Engineering as appropriate
Interview and onboard new hires; approve and document time off; conduct annual performance reviews and salary adjustment recommendations
Hold regular 1:1s to discover and resolve personnel issues; mentor and coach team members on career growth
Create, own, and educate others on the client sandbox solution architecture; establish and maintain a backlog of changes (application growth, data refreshes, and planned curations)
Design data staging frameworks based on real-world scenarios (e.g., month-end reconciliation, homeowner settlement/warranty deed, posting to GL, go-dark practice run—architecture only)
Ensure Databricks and client read-only connectivity; develop code that can model extensibility development
Qualification
Required
Hands-on experience with enterprise data platforms; strong preference for Databricks (Unity Catalog, Delta Lake, DLT, Workflows, Spark optimization)
Strong to expert-level proficiency in Python including PySpark, pandas, data validation libraries (e.g., Pydantic, Great Expectations), and production-grade coding practices
Expert-level experience with Auto Loader, CDC, streaming ingestion, API integrations, and file-based batch processing
Advanced SQL skills (complex joins, window functions, CTEs, query optimization) across analytical and OLTP workloads (SparkSQL, T-SQL or similar)
Understanding of lakehouse architecture, data modeling principles (Kimball, Data Vault), and data governance frameworks
5+ years in data engineering or related roles, with 2+ years in a formal people-management capacity
Proven track record delivering production-grade data pipelines at scale and leading cross-functional initiatives
Experience with CI/CD for data pipelines and infrastructure-as-code practices
Strong, proactive daily communication and ownership mindset
Ability to demonstrate technical functionality to technical and non-technical audiences
Clear risk identification, mitigation planning, and follow-through
People leadership with empathy, accountability, and coaching orientation
Preferred
Databricks certifications (Data Engineer Associate/Professional)
Experience with major cloud platforms (AWS or Azure) and native data services
Familiarity with orchestration tools (Airflow, Prefect, Databricks Workflows)
Experience driving data migration or multi-source integration programs
Knowledge of real-time streaming technologies (Kafka, Event Hubs, Kinesis)
2+ years managing engineering teams; formal training or certifications in Agile/Scrum (e.g., CSM, SAFe)
Company
Associa
Associa provides management and consultancy services.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown2008-06-11Private Equity
Leadership Team
Michelle Johnson
SVP, Chief Information & Transformation Officer
Debra Warren
Vice President of Learning and Development
Recent News
GlobeNewswire
2026-01-05
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