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As part of our enterprise Data & Analytics team, you will lead technology innovation for our company through robust delivery of world-class data platform. There will never be a “typical day”. The opportunities to make a difference within exciting data initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative team of technology and data experts, taking on today’s biggest, most complex business challenges in healthcare using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in multiple roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration. You will be the subject matter expert in data engineering and Snowflake-Azure data technologies.

You will lead architecture, design, and development of robust and scalable cloud data warehouse, data pipelines and business intelligence solutions. You will work with the enterprise Analytics team, their data scientists, and various functional SMEs to understand the business requirements. You will collaborate to deliver high quality large datasets to support machine learning, real-time business analysis and customer reporting needs. Data-sharing will be across the enterprise and with our external partners. This will require interfacing with other technology teams to extract, transform, and load data from a wide variety of internal and external data sources, and to establish standards for related technology and business processes. A key architectural deliverable will be batch and streaming pipelines that can easily and quickly add new data elements for analysis from existing and new data sources.

Responsibilities will also include technical delivery review, resolution of architecture issues, migration of the existing on-premises datasets to Azure Snowflake platform, and mentoring and influencing some of our team members both onshore and offshore.

Skills and Experience:

• 8+ years of related experience within a corporate environment required; experience must include successful track record with data warehouse and data engineering architecture, designing highly scalable ELT/ETL batch and stream processes with error handling, data quality checks, restartability, and monitoring, and architectural understanding of BI and reporting platforms
• Ideal candidate would have come from a hands-on development background, and risen through the ranks to become an Architect, with at least 3 years’ experience of architecting and rendering Azure cloud solutions. The candidate must have recently architected large-scale cloud-based data solutions, performed data pipeline architectural assessments, examined architectural alternatives, and helped choose the best solution in collaboration with IT and other stakeholders
• Experience developing solutions on key data management and analytics platforms and tools, including Snowflake in Azure cloud. You must have expertise in many of the following: Azure Data bricks (Apache Spark), Azure Data Lake, Azure Machine Learning, Azure Stream Analytics, DBT, Microsoft Synapse, etc.
• Strong experience with SQL stored procedures, Python, shell scripting and semi-structured data types using JSON
• Clear understanding of Snowflake’s advanced concepts like virtual warehouses, query performance using micro partitions and pruning, zero copy clone, time travel, resource monitors, and security control methods including network, data, role based etc.
• Good understanding of various Data Models such as Dimensional Data Modeling, Extended Star Schema Modeling, Snowflake Modeling, Physical and Logical Data Modeling.
• Experience with Git and key CI/CD solutions like Azure DevOps Pipelines
• Demonstrated ability to lead and influence product teams that are not in a direct reporting relationship
• Experience in migrating data pipelines from on-prem to Azure cloud is nice to have
• Experience with Power BI Premium architecture strongly preferred
• Experience with FHIR model desired
• Ability to balance several projects while delivering high quality results in a timely manner

Preferred Certifications: 

• AZ-303: Microsoft Azure Architect Technologies
• AZ-304: Microsoft Azure Architect Design
• DP-200 Implementing an Azure Data Solution
• DP-201 Designing an Azure Data Solution
• Implementing DevOps on Azure platform