
Engineering Leader for Scalable Data Infrastructure
1 week ago
We are seeking an experienced Senior Data Governance Engineer to lead the development of a scalable, secure, and robust data governance platform.
- Key Responsibilities:
- Design, build, and deploy data governance tools and frameworks.
- Collaborate with cross-functional teams to ensure data compliance, security, and usability.
- Lead initiatives around metadata management, data lineage, and data cataloging.
- Define and evangelize standards and best practices across data engineering teams.
- Mentor junior engineers and contribute to technical leadership.
- Drive innovation in privacy-by-design, regulatory compliance, and data observability solutions.
Requirements:
- 8+ years of experience in software engineering, with 3+ years focused on data governance or related tooling.
- Strong experience building distributed systems for metadata management, data lineage, and quality tracking.
- Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design.
- Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc
- Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings.
- Prior experience in building metadata management frameworks for scale.
- Bachelors or masters degree in Computer Science, Engineering, or a related field.
About Us:
We believe that strong data governance is essential for innovation and growth. Our team is dedicated to building a culture of collaboration and excellence in data management.
What We Offer:
- A dynamic and collaborative work environment.
- The opportunity to work on challenging projects and make a meaningful impact.
- Ongoing training and professional development opportunities.
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