
Chief Data Engineering Manager
2 weeks ago
We are seeking an experienced Lead Data Architect to spearhead our data engineering initiatives.
This is a key leadership role that involves leading the development of scalable data solutions, defining and enforcing data quality standards, and championing documentation and metadata management practices.
- Architect and design complex data pipelines using Databricks and Azure Data Services.
- Lead the development of data solutions using Python, PySpark, and distributed computing frameworks.
- Define and enforce data quality standards to ensure timely, accurate, and complete data.
- Design and maintain enterprise-grade data models using star and snowflake schemas.
- Develop advanced SQL skills, including CTEs, aggregations, and complex joins.
- Collaborate with cross-functional teams to translate business needs into robust data solutions.
- 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.
- Use GitHub for source control, code reviews, and CI/CD workflows.
- Mentor junior engineers and foster a culture of technical excellence.
Key Qualifications:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or a 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 GitHub and modern DevOps practices.
Leadership Skills:
- Strategic thinker with a passion for data innovation and emerging technologies.
- Strong leadership and communication skills with the ability to influence across teams.
- Committed to mentorship, team development, and technical excellence.
- Enthusiastic about building a data-driven culture and enabling AI/ML capabilities.
- Comfortable working in a fast-paced, agile environment with shifting priorities.
Certifications or Licenses:
- Databricks Certified Data Engineer Professional
- Informatica Cloud Data Integration Specialist
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