Principal Data Engineers
13 hours ago
Focus Areas: Commercial, Operations, Product
Key Responsibilities:
- Architect and implement end-to-end data engineering solutions, including conceptual, logical, and physical data models across data warehouses, data lakes, data marts, and operational data stores.
- Collaborate cross-functionally with business leaders, data scientists, engineers, and product managers to translate complex business needs into scalable and actionable data architecture.
- Define and uphold data engineering principles, standards, and best practices to ensure consistency, quality, and performance across all data initiatives.
- Lead innovation in data design and integration strategies to support analytics, reporting, and machine learning use cases.
Tech Stack:
- Cloud: Microsoft Azure
- Data Platform: Databricks
- Design and develop comprehensive data engineering, including conceptual, logical, and physical data models, for data warehouses, data lakes, data marts, and operational data stores.
- Work closely with business leaders, data scientists, data engineers, and product managers to translate complex business requirements into robust and actionable data architecture designs.
- Establish and enforce data engineering principles, standards and best practices across data development initiatives.
- Advocate programming best practices, advanced automation, and engineering culture across teams Defines and drives standards for metrics driven SDLC quality, security, and sustainability Sets technical direction and ensures alignment with architectural direction across multiple teams.
- Drives resilience by identifying technical risks and proactively implementing mitigation strategies to minimize disruption.
- Owns delivery strategy across functions aligning technical and business priorities
- Champions cutting-edge technical innovation to expand the team's future readiness beyond the current ecosystem.
- Brings in state-of-the-art practices through conferences, research, and helps scale proven innovations across teams.
- Lead strategic mentoring initiatives, promotes a culture of engineering excellence, learning, and knowledge sharing across IT Skilled in communicating complex technical concepts & tradeoffs to business and technical leadership and building alignment.
- Balances roadmap maturity, cost, impact and delivery value Rationalize for broader organizational and department strategy Known data engineering expert across the department and functional teams.
- Manages executive-level relationships rationally Champions Agile best practices & consistent delivery across IT teams.
- Proactively identifies systemic bottlenecks and mitigates cross-team strategic risks
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