paycor
Sr. Manager, Data Engineering
TradeStation
Remote, USA
Full-time
Senior Level
Remote
USD 168000-187000 yearly
Discovered 1 weeks ago
Free
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- Manage, mentor, and inspire a team of skilled data engineers to deliver high-quality work
- Provide direction, performance feedback, and career development opportunities
- Foster a culture of collaboration, innovation, and continuous learning
- Manage the design and implementation of scalable and efficient data pipelines on Databricks
- Define and implement data architecture to support both batch and real-time data processing
- Leverage Databricks features (e.g., Delta Lake, Databricks SQL, MLflow) to optimize infrastructure for performance and cost
- Own, administer, and continuously optimize the end-to-end Databricks environment, including workspace administration, cluster and compute management, Unity Catalog governance, and cost/performance monitoring
- Build and operationalize Databricks AI capabilities (Mosaic AI, model serving, and generative AI/agent workflows) to power intelligent, data-driven products
- Design, deploy, and maintain AI/BI Genie spaces and Genie-powered apps that enable business users to explore data and get answers through natural-language conversation
- Implement and maintain data governance frameworks to ensure data integrity, security, and compliance
- Collaboration and Business Impact:
- Partner with data scientists, analysts, and business teams to enable data-driven decision-making
- Work closely with business and product management to define, prioritize, and own both the technical and business data roadmap, aligning platform investments with organizational strategy
- Translate business needs into technical requirements and scalable data solutions
- Communicate technical plans, challenges, and achievements to stakeholders at all levels
- Prioritize and manage multiple data engineering projects, ensuring timely delivery
- Define success metrics and continuously track progress to achieve desired outcomes
- Stay informed on industry trends, particularly advancements in Databricks, Databricks AI (Mosaic AI, AI/BI Genie), generative AI, and cloud-based data platforms.
- Establish and enforce best practices for coding, testing, and deploying data engineering solutions
- Proven experience running projects and managing direct reports
- Knowledge of data governance practices, business and technology issues related to managing enterprise information assets, and approaches related to data protection
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