Vacancy expired!
- Lead analysis, data architecture, design, and data modelling for cloud data warehouse, data lake and data mart and business intelligence solutions.
- Responsible for creating and maintaining the conceptual, Logical and Physical Data models for enterprise data warehouse/data mart initiatives in the Healthcare Provider domain
- Responsible for identifying and curating the data standardization and data quality rules
- Responsible for leading and providing direction to Business Data Analysts for data analysis, data profiling and source to target mapping
- Provide guidance and support to the development and QA teams on triaging the remediating complex data scenarios identified during development/testing.
- Responsible for creating data migration strategies for both historical and incremental data on an ongoing basis
- Research, analyze, recommend, and select technical approaches for solving difficult and challenging migration, development, and integration problems.
- Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations.
- Lead and contribute to data implementation projects and/or project independent workstreams.
- Work independently, or as part of a team, to design and develop enterprise data solutions.
- Ability to creatively take on new challenges and work outside comfort zone.
- Strong written and oral communications along with presentation and interpersonal skills as well as the ability to learn new technologies and analytics techniques while on the job.
- Bachelor's Degree (preferably in information technology, engineering, or computer science, or another related field)
- 10 + years of data engineering /data warehousing experience architecting, designing and/or building Data warehouse, Data marts and/ or Data lakes
- 5+ years of data engineering and ETL experience with minimum of 3+ years of designing and building data pipelines using Python, Spark, Kubernetes and Kafka
- 5+ years' data modeling / data architecture experience (using tools such as ERWIN) for enterprise data warehouses or large-scale reporting solutions
- 5+ experience in healthcare specific data management projects and familiarity with health plan data domains (such as medical claim, pharmacy claim, eligibility etc.) and / or provider clinical data domains (such as ADT, CCDA, OUR etc.)
- Hands-on experience in Azure data movement and data management capabilities (experience with Azure components such as Azure Data Factory, Data Lake Analytics, Data Bricks, Stream Analytics, Synapse Analytics)
- Willingness to travel up to 75%
- Experience with Cloud Data warehouse platforms (Azure Synapse / Snowflake preferably)
- Experience working in Agile Scrum teams.
- Proven ability to work with clients to understand requirements and conceptualize data integration solutions
- Data profiling & data analysis experience in a data warehouse environment
- Experience migrating data from On Prem to Cloud
- Understanding of distributed systems and architecture design trade-offs.
- Prior implementation experience and/or exposure to cloud data architectures like Delta Lake and/or Lambda for designing data ingestion frameworks for both real time and batch processing.
- Prior consulting experience, strongly preferred
- Azure certification preferred
Vacancy expired!