Job Description
As a Data Governance Architect, your work is a combination of hands-on contribution, customer engagement, and technical team management. Overall, you’ll design, architect, deploy, and maintain big data-based data governance solutions.More specifically, this will involve :
- Technical management across the full life cycle of big data-based data governance projects
- from requirement gathering and analysis to platform selection, design of the architecture, and
- deployment.
- Scaling the solution in a cloud-based infrastructure.
- Collaborating with business consultants, data scientists, engineers, and developers to develop data solutions.
- Exploring new technologies for creative business problem-solving
- Leading and mentoring a team of data governance engineersWhat do we expect?
- 10+ years of technical experience with 5+ years in the Hadoop ecosystem and 3+ years in DataGovernance Solutions
- Hands-on experience with Data Governance Solutions with a good understanding of the below
- Data Catalog
- Business Glossary
- Business metadata, technical metadata, operational Metadata
- Data Quality
- Data Profiling
- Data LineageJob RequirementHands-on experience with the following technologies :
- Hadoop ecosystem - HDFS, Hive, Sqoop, Kafka, ELK Stack, etc
- Spark, Scala, Python, and core / advanced Java
- Relevant AWS / GCP components required to build big data solutions
- Good to know : Databricks, SnowflakeFamiliarity working with :
- Designing / building large cloud-computing infrastructure solutions (in AWS / GCP)
- Data lake design and implementation
- Full life cycle of a Hadoop solution
- Distributed computing and parallel processing environments
- HDFS administration, configuration management, monitoring, debugging, and performance tuning