Job
Description
Here's the job description for a Data Governance Architect, formatted with bold subheadings and bullet points: Role Overview: Data Governance Architect 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. Key Responsibilities Project Lifecycle Management: Provide technical leadership across the full life cycle of big data-based data governance projects, from requirement gathering and analysis to platform selection, architecture design, and deployment. Cloud Scalability: Scale the data governance solution within a cloud-based infrastructure. Cross-functional Collaboration: Collaborate effectively with business consultants, data scientists, engineers, and developers to deliver robust data solutions. Technology Exploration: Explore and evaluate new technologies for creative business problem-solving in the data governance space. Team Leadership: Lead and mentor a team of data governance engineers. What We Expect (Requirements) Experience:10+ years of technical experience in the Data space. 5+ years of experience in the Hadoop ecosystem. 3+ years of experience specifically in Data Governance Solutions. Hands-on Data Governance Solutions Experience with a good understanding of: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. Programming Languages: Spark, Scala, Python, and core/advanced Java. Cloud Components: 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
