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Job Title: Databricks Dashboard Engineer Job Summary We are looking for a versatile Databricks Dashboard Engineer with strong coding skills in SQL who can design and build interactive dashboards as well as contribute to data engineering efforts. Works with stakeholders to identify and define self-service analytic solutions, dashboards, actionable enterprise business intelligence reports and business intelligence best practices. Responsible for repeatable, lean and maintainable enterprise BI design across organizations. Effectively partners with client team. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable. Responsibilities Design, develop, and maintain interactive dashboards and visualizations using Databricks SQL, Delta Lake, and Notebooks. Collaborate with business stakeholders to gather dashboard requirements and deliver actionable insights. Optimize data models and queries for performance and scalability. Integrate Databricks data with BI tools such as Power BI, Tableau, or Looker. Automate dashboard refreshes and monitor data quality. Maintain comprehensive documentation for dashboards. Work closely with data engineers and analysts to ensure data governance and reliability. Stay current with Databricks platform capabilities and dashboarding best practices Design, develop, test, and deploy data model and dashboard processes (batch or real-time) using tools such as Databricks, PowerBI etc. Create functional & technical documentation – e.g. data model architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc. Provide a consultative approach with business users, asking questions to understand the business need and deriving the data model, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs. Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data modelling and dashboarding Ensures proper execution/creation of methodology, training, templates, resource plans and engagement review processes Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate. Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels Architect, design, develop and set direction for enterprise self-service analytic solutions, business intelligence reports, visualisations and best practice standards. Toolsets include but not limited to: Databricks, SQL Server Analysis and Reporting Services, Microsoft Power BI, Tableau and Qlik. Work with report team to identify, design and implement a reporting user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices. Required Qualifications 8 Years industry implementation experience with data warehousing tools such as AWS services Redshift, Synapse, Databricks, Power BI, Tableau, Qlik, Looker etc. 3+ years of experience in databricks dashboard development 3-5 years’ development experience in decision support / business intelligence environments utilizing tools such as SQL Server Analysis and Reporting Services, Microsoft’s Power BI, Tableau, looker etc. Proficient in SQL, data modeling, and query optimization Experience with Databricks SQL, Delta Lake, and notebook development. Familiarity with BI visualization tools like Power BI, Tableau, or Looker. Understanding of data warehousing, ETL/ELT pipelines, and cloud data platforms Bachelor’s degree or equivalent experience, Master’s Degree Preferred Strong data warehousing, OLTP systems, data integration and SDLC Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP) Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms Show more Show less
