Azure Data Architect/Databricks Lead

Job Description –
·       Someone with a balanced mix of technical and business skills and working with an enterprise architecture team for strategic direction.
·       Develop and drive domain/application standards and best practices that align with enterprise direction.
·       Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.) or similar native Azure or GCP services.
·       Strong experience on Snowflake or DataBricks (including PySpark) along with tools like DBT or Snaplogic or Informatica Stack
·       Proactively seek to understand major industry trends and apply them to solutions, new initiatives, and capability roadmaps
·       Provide technical guidance to the project teams and work closely with other Architects to ensure that project architectures follow established architecture standards and guidelines.
·       Good communication and presentation skills and ability to understand the business priorities and how Technology can support these initiatives.
·       Understanding of the Agile based development and execution approach
·       Well versed with data consumption design patterns like semantic layers, visualizations, ML models, etc.

Responsibilities
·       Data Technology leader and subject matter expert with deep knowledge for a given set of Data technologies and applications as well as related processes.
·       Demonstrate thought leadership by holistically stitching the right Data and AI solutions for enterprise clients
·       Perform product or platform-based data landscape assessment, portfolio rationalization and provide solution to modernize, migrate and integrate applications on Hyperscale using best practices and approaches
·       Engage with business and technology stakeholders to gather the required information, understand the client expectations, get clarity through workshops, suggest/deliberate on the right solution.
·       Provide subject matter expertise and / or technical vision to resolve and address business issues and priorities
Has worked on DQ/DG requirements and experience of one or more Industry leading solutions/products in the same area.
·       Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc.
·       Expert Troubleshooter and swift in managing any escalations or SOS situations in delivery or data related proposals.
·       Contribute to building offerings / solutions / automation accelerators and nurturing NexGen data talent.