Architect - Power BI

  • Full-time

Company Description

InstaTalent Recruit LLP

Job Description

What do we expect?

● 10+ years of experience in delivering comprehensive BI solutions (Power BI, Tableau & Qlik) and 5+ years of
   experience in Power BI

● Real-time experience working in OLAP & OLTP database models (Dimensional models).

● Comprehensive knowledge of SQL & modern DM environments (Synapse, Snowflake & Redshift).

● Effortless in relational database concepts, flat file processing concepts, and software development lifecycle.

● Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP).

● ETL technology exposure & experience in a scripting language would be value addition.

● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.

Qualifications

Bechalor Degree 

Additional Information

As a Architect, you will work to deliver the vision of the department through process, development, and lifecycle.; Seamlessly switch between roles of an Individual Contributor, team member, and Power BI Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might

● Formulate and recommend standards for achieving maximum performance and efficiency in the Data Management ecosystem.

● Develop and maintain the Data layer (DM or DWH) for the aggregation, validation, and presentation of data for reporting layer.

● Develop or coach the team members to develop reports, dashboards, and related database views/stored procedures.

● Evangelize self-service BI and visual discovery.

● Interview stakeholders and develop a BI roadmap for success based on project prioritization and budget.

● Design & promote best BI practices by championing data quality, integrity, and reliability.

● Coach BI team members as a technology SME.

● Provide on-the-job training for new or less experienced team members.

● Partner with the sales and presales team to build BI-related solutions and proposals.

● Ideate an end-end architecture for a given problem statement.

● Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.