
Chief Data Platform Strategist
6 days ago
We seek an experienced Senior Engineering Manager to lead a team of talented data engineers in designing and delivering scalable data pipelines and analytics platforms.
- Team Leadership: Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems.
- Architecture and Development: Architect and oversee the development of end-to-end data solutions using Azure Data Services and Databricks.
- Cross-Functional Collaboration: Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products.
- Engineering Excellence: Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Data Governance: Ensure high data quality, governance, and compliance with internal and external policies.
- Infrastructure Optimization: Optimize performance and cost efficiency of data infrastructure in the cloud.
- Stay Current: Stay current with industry trends, emerging technologies, and apply them to improve system architecture and team capabilities.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software/data engineering with at least 3 years in a leadership or managerial role.
- Proven hands-on experience with:
- Big Data ecosystems (Spark, Hive, Hadoop)
- Azure Cloud Services (Data Lake, Data Factory, Synapse Analytics, Blob Storage)
- Databricks (including Delta Lake, MLFlow, Unity Catalog)
- Strong programming experience in Python, Scala, or Java.
- Deep understanding of data modeling, ETL/ELT processes, and performance tuning.
- Experience managing Agile teams and delivering complex projects on time.
- Excellent problem-solving, leadership, and communication skills.
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