Data Engineer Architect
Role Overview
Provide senior technical leadership for scalable, high-performance data platforms supporting analytics, AI/ML, and business intelligence.
Use Databricks and Azure ecosystems to establish secure, reliable architecture and engineering standards.
Shape data strategy and align technology decisions with business objectives.
Key Skills for This Role
Full Job Posting
Role Overview
Provide senior technical leadership for scalable, high-performance data platforms supporting analytics, AI/ML, and business intelligence.
Use Databricks and Azure ecosystems to establish secure, reliable architecture and engineering standards.
Shape data strategy and align technology decisions with business objectives.
Responsibilities
- Lead enterprise data platform architecture using Databricks, Delta Lake, and Azure Data Services.
- Define engineering standards for consistency, reusability, scalability, and maintainability.
- Architect data warehouse and lakehouse solutions with Snowflake, star schemas, and distributed systems.
- Guide real-time and batch pipelines for analytics, ML model training, and reporting.
- Design secure and compliant architectures for governance, privacy, and access control.
- Lead infrastructure-as-code, pipeline orchestration, and observability implementation.
- Evaluate emerging data technologies and cloud capabilities.
- Mentor senior and mid-level data engineers.
- Create design blueprints, system diagrams, and roadmaps.
- Lead proofs of concept, architecture reviews, and technical deep dives.
- Troubleshoot architectural and performance issues for resilience and cost efficiency.
Qualifications
- 8-12 years of progressive data engineering experience with cloud-native architecture and implementation leadership.
- Expert Databricks skills including Delta Live Tables, Unity Catalog, and Spark performance tuning.
- Expertise with Azure Data Factory, Event Hubs, data modeling, warehousing, and big data processing.
- Knowledge of dimensional modeling, streaming architectures, lakehouse patterns, governance, security, and compliance.
- Deep knowledge of Python, SQL, Spark, and distributed data systems.
- Experience leading high-impact projects, mentoring engineers, and influencing enterprise data strategy.
- Bachelor's degree in a relevant technical field is required.
Preferred Qualifications
- Advanced degree is preferred.
- Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert certifications are highly desirable.
Benefits
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Associate furniture discounts, company-paid life and disability insurance, paid time off, employee assistance, and wellness programs.
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