5 дней назад
Lead Analytics Engineer (Databricks)
102 600 - 193 425$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Analytics Engineer (Databricks): Designing governed Gold-layer data models, Unity Catalog metric views, and Databricks AI/BI dashboards for trusted enterprise analytics with an accent on dimensional modeling, data quality, and self-service consumption. Focus on standardizing cross-functional metrics, building production transformations with SQL and PySpark, and applying AI-assisted development, governance, and performance optimization.
Location: Oak Brook, Illinois, United States; hybrid
Salary: $102,600–$193,425 annual base pay, plus benefits, 401(k) contribution, and eligibility for a short-term incentive plan.
Company
Group develops intelligent access products and services powered by myQ technology for homes, businesses, and communities worldwide.
What you will do
- Design and maintain curated Gold-layer data models, domain data marts, and governed Unity Catalog metric views.
- Build modular Databricks SQL and PySpark transformations, streaming tables, declarative pipelines, and embedded data-quality tests.
- Develop Databricks AI/BI dashboards and migrate legacy reporting logic into trusted, reusable models.
- Partner with stakeholders to define enterprise metrics, resolve conflicting definitions, document changes, and communicate reporting impacts.
- Set analytics engineering standards, review designs and code, mentor engineers and analysts, and establish data contracts with upstream producers.
- Maintain lineage and agent-ready metadata, enable natural-language data access, and optimize performance and platform costs.
Requirements
- Bachelor's degree in computer science or equivalent relevant experience.
- 4+ years in analytics engineering, data engineering, data warehousing, or BI development, including 2+ years of hands-on Databricks experience.
- Technical leadership experience covering standards, design reviews, code reviews, and mentoring without formal direct reports.
- Expert SQL and strong Python/PySpark skills, with experience in dimensional modeling, star schemas, data marts, grain decisions, conformed dimensions, and slowly changing dimensions.
- Hands-on experience with Databricks, Delta Lake, Unity Catalog, Databricks SQL, medallion architecture, dashboards, data-quality testing, documentation, lineage, Git, and CI/CD.
- Ability to translate ambiguous business questions into durable models and dashboards, communicate with business audiences, and validate AI-generated code and metric logic.
Nice to have
- Databricks or Azure certifications.
- Experience with Unity Catalog metric views, Lakeflow Declarative Pipelines, Lakeflow Jobs, and Declarative Automation Bundles.
- Experience with AI/BI Genie spaces, reusable AI skills, prompt libraries, agent configurations, or agentic SQL refactoring workflows.
- Experience with data observability, data governance, master data management, cost attribution, or agile development.
Culture & Benefits
- Hybrid work environment in Oak Brook, Illinois.
- Comprehensive benefits package and 401(k) contribution, subject to eligibility.
- Short-term incentive plan eligibility subject to applicable plans and policies.
- Up to 5% travel may be required.
- Equal opportunity workplace with reasonable accommodations available during the application process.
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