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 engineers

What do we expect?

• 10+ years of technical experience with 5+ years in the Hadoop ecosystem and 3+ years in Data

Governance 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 Lineage

Hands-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, Snowflake

Familiarity 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