Databricks Data Warehouse Engineer

Akkodis, Inc. is seeking a full-time direct hire and remote Databricks Data Warehouse Engineer for a role with a billion-dollar global employer headquartered in Cleveland, OH. The Databricks DW Engineer provides the appropriate technical leadership, and strategic guidance regarding the architecture, implementation, maintenance and ongoing support of data warehousing systems and toolsets. Qualifications include 5+ years in engineering within data warehouses, SQL, and Azure, all in an enterprise-level production environment, including at least 3 years in a live Databricks production environment.

Salary Range: $125-155K per year; salary negotiable based on experience, education, geographic location, and other factors

This is a great opportunity to work with an employee-oriented organization offering an excellent salary and benefits package including 4 weeks of vacation to start!

Candidates must live within an hour of the downtown areas of the following cities: Cleveland, Pittsburgh, Detroit, Columbus, or Atlanta.

Databricks Data Warehouse Engineer Job Responsibilities Include :

• Provides strategy and vision for increasing the value of the data architecture platform and related data warehousing toolsets.
• Participates in development and continuous improvement of strategies for data asset management and governance, including supporting requirements for security, accuracy, performance, and availability.
• Participates in building and maintaining: Data Models, Data Naming Standards, Enterprise Data Dictionary, Data Asset Inventory, and Data/Information Flows.
• Communicates with relevant data stakeholders to research and help resolve data anomalies and/or data quality issues.
• Assists information workers and development teams with outcome-focused requirements gathering and design of supporting information delivery capabilities. Lead the design, implementation, and continuous delivery of a sophisticated data pipeline supporting applications and reporting.
• Final validation of end-user data warehousing requirements, promoting awareness and understanding of the data available in the data estate by planning and leading effective socialization campaigns, designing, defining and implementing data quality assurance processes and leading the creation of standard data architecture including dimensional model design.
• The Engineer is responsible for monitoring data warehouse loads during periods when successful loads are a requirement (e.g., Year End), working weekends, second shift and/or third shift, as necessary.
• Designs and implements data models to support analytics and reporting initiatives.
• Reviews current database architecture and propose solutions to scale processing and reporting functionality.
• Prepares requirement analysis and documentation for new data and changes to existing data.
• Performs logical and physical design of data warehouse elements.
• Performs source to target mapping for data warehouse elements.
• Maintains metadata information for data warehouse elements.
• Maintains thorough documentation for data models, processes, and any changes made to the data warehouse.
• Ensures seamless data flow between various systems and the data warehouse using data integration tools and techniques.
• Enhances data analysis capabilities through familiarity with advanced analytics tools and techniques, such as machine learning, AI and GenAI.

Qualifications:

• 5+ years of hands-on experience in relational database design and data warehouse design skills within an enterprise-level production environment.
• 3+ years of experience with Databricks, running live in a production-level environment.
• In-depth knowledge of T-SQL and Microsoft SQL Server.
• Skills in Azure Data Factory.
• Skills in SQL Server Reporting Services and Power BI.
• Understanding of medallion architecture.
• Knowledge of Microsoft Fabric is a plus.
• In-depth knowledge of additional data warehousing related Azure resources and toolsets such as Azure storage accounts and Azure DevOps, IaaS concepts, BICEP scripting and SQL PaaS is a plus.
• Familiarity with DAX is preferred.
• Candidates must live within an hour of the downtown areas of the following cities: Cleveland, Pittsburgh, Detroit, Columbus, or Atlanta.

If you are interested in this fully remote and full-time direct Databricks Engineer, please click APPLY NOW. For other opportunities available at Akkodis go to . If you have questions about the position, please contact Kathy Becher at View email address on click.appcast.io.

Equal Opportunity Employer/Veterans/Disabled

Featured benefits include:

• Medical/Dental/Vision Insurance
• Medical/Dental/Vision/Life Insurance for Domestic Partners
• Annual Physical Examination
• Health Care Spending Account
• 401(k) Supplemental Savings Plan for Retirement
• Group Long Term Disability Insurance/Supplemental Disability Insurance
• Group Life Insurance/Supplemental Term Life Insurance
• Personal Accident Insurance
• Long Term Care Insurance
• Four Weeks Vacation Annually
• Paid Family Leave for Childbirth or Adoption
• Backup Child Care and Emergency Elder Care

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The Company will consider qualified applicants with arrest and conviction records.