
Chief Data Architect
1 day ago
Senior Lead Data Engineer
We are seeking a skilled Senior Lead Data Engineer to join our team. As a key member of our Enterprise Data & Analytics team, you will be responsible for designing and implementing scalable, high-performance data solutions that support various business functions.
Key Responsibilities:
- Design and implement complex data pipelines using Databricks and Azure Data Services.
- Develop scalable data solutions using Python, PySpark, and distributed computing frameworks.
- Maintain high standards of data quality by defining and enforcing data quality metrics.
- Develop enterprise-grade data models using star and snowflake schemas.
- Write and review advanced SQL code, including CTEs, aggregations, and complex joins.
- Collaborate with cross-functional teams to translate business needs into robust data solutions.
- Champion documentation, metadata management, and data governance practices.
- Guide the development of Power BI and Sigma Computing dashboards and semantic models.
- Integrate data from relational and NoSQL sources.
- Lead integration efforts with Informatica Cloud Platform, including Customer 360 and MDM SaaS.
- Architect and implement real-time data ingestion using Kafka and event-driven patterns.
- Mentor junior engineers, promote knowledge sharing, and foster a culture of technical excellence.
Qualifications:
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in data engineering, with a strong focus on Azure and Databricks.
- Expert-level proficiency in Python, PySpark, and distributed data processing.
- Deep understanding of data modeling, data warehousing, and ETL/ELT best practices.
- Advanced SQL skills, including CTEs, aggregations, and joins.
- Proven experience implementing data quality frameworks and scalable data architectures.
- Strong working knowledge of Power BI, Sigma Computing, and data visualization principles.
- Experience with Informatica Cloud tools and MDM strategies.
- Proficiency with relational databases and NoSQL technologies.
- Experience with real-time data streaming and event-driven architectures.
- Proficiency with modern DevOps practices.
Benefits:
This role offers opportunities for growth and professional development, collaboration with experienced engineers, and the chance to work on cutting-edge projects.
Leadership Skills:
- Strong leadership and communication skills with the ability to influence across teams.
- Committed to mentorship, team development, and technical excellence.
- Passionate about building a data-driven culture and enabling AI/ML capabilities.
- Comfortable working in a fast-paced environment with shifting priorities.
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