Position: Azure Data Architect Location: Mount Laurel, NJ (Hybrid) Duration: 6+ Month 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 Hyperscaler 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 • 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. • Liaise with vertical / account teams to go after new data related opportunities as well as grow in existing engagements. The Role Offers: • Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development. • An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations. • Gives an opportunity to showcase candidates’ strong analytical skills and problem-solving ability. • Grow into a Big Data professional or Technical Architect role over a period. Skills and Attributes for Success: • 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 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.