Data Warehouse/Governance Supervisor

4 weeks ago

Omaha, United States Client Resources, Inc. Full time

Data Warehouse and Data Governance Supervisor will, Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases and data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality. In addition, they should have a proven track record of leading and supervising a team to develop and enforce data governance best practices.


III. RESPONSIBILITIES AND DUTIES


1. Data Warehouse Design and Implementation:


• Designing and developing data warehouse solutions to support business intelligence and reporting needs.

• Collaborating with business analysts and stakeholders to understand data requirements and translate them into technical specifications.

• Extracting, transforming, and loading (ETL) data from various sources into the data warehouse using tools like Informatica, Talend, or SSIS.

Building and maintaining data models, schemas, and dimensional structures to optimize data storage and retrieval.

• Writing complex SQL queries and stored procedures to extract and manipulate data for reporting and analysis purposes.

• Monitoring and troubleshooting data warehouse performance issues, identifying bottlenecks, and implementing solutions.

• Collaborating with database administrators to ensure proper configuration, backup, and recovery of the data warehouse.

• Conducting data profiling and data analysis to identify data quality issues and recommend improvements.

• Participating in data warehouse architecture design and providing input on technology selection and best practices.

• Keeping up-to-date with industry trends and advancements in data warehousing technologies and methodologies.


2. Data Governance:


• Develop and implement data governance policies and procedures to ensure data quality, integrity, and compliance with industry regulations.

• Define and enforce data standards, metadata management, and data lineage.

• Collaborate with business stakeholders to establish data ownership and stewardship.

• Implementing data quality and data governance processes to ensure accuracy, consistency, and integrity of data in the warehouse.

• Performance tuning and optimization of data warehouse processes and queries to improve overall system efficiency.

• Monitor data usage and access to ensure compliance with data governance policies

• Identify and address data quality issues

• Develop and implement data governance best practices

• Provide training and guidance on data governance policies and procedures

• Collaborate with stakeholders to ensure data is used effectively

• Monitor data security and privacy regulations

• Perform data audits to ensure compliance with data governance policies

3. Supervisory and Leadership:

• Lead a team of data engineers, providing mentorship, guidance, and support.

• Foster a collaborative and innovative team culture focused on achieving data quality and reliability goals.

Conduct regular performance reviews, set goals, and identify opportunities for skill development within the team.

4. Data Security and Compliance:

• Implement and oversee security measures to protect sensitive data within the data warehouse.

• Ensure compliance with relevant data protection regulations and industry standards.

5. Monitoring and Optimization:

• Establish monitoring processes to proactively identify and address performance bottlenecks or data issues.

• Continuously optimize and fine-tune data warehouse processes for improved efficiency.


III. KNOWLEDGE, SKILLS, AND ABILITIES

• Technical Skills: Data warehouse engineers must be proficient in various data warehousing technologies, including ETL tools, SQL databases, and data modeling techniques. They must also have a strong background in programming languages such as SQL, Python, R, or Java.

• Analytical Skills: Data warehouse engineers must have strong analytical skills to identify patterns and insights from large and complex data sets.

• Collaboration Skills: Data warehouse engineers must have excellent communication and collaboration skills to work effectively with cross-functional teams.


V. EDUCATION AND EXPERIENCE

• Bachelor’s degree in Computer Science, Information Systems, a related field or equivalent experience.

• Proven experience as a Data Warehouse Engineer with a focus on data governance.

• Strong understanding of data warehouse architecture, ETL processes, and data modeling.

• Hands-on experience with data governance tools and frameworks.

• Previous supervisory or team lead experience with a track record of building and managing high-performing teams.

Familiarity with industry best practices for data management, data quality, and data security.

• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

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