Hybrid Details:
Onsite 1-2 days/week
Job Description
- The client has an immediate need for an experienced Senior Data Architect with expertise in data modeling, data governance and operational experience in clinical healthcare systems.
- The Senior Data Architect – is a hybrid technical and business advisor.
- This individual embodies project/program management skills, technical vision, and business insight.
- This position will partner heavily with internal and external teams to provide data and solutions for a precision genomics research collaboration between/among corporate and university researchers.
- A successful candidate will be experienced in analytical data with a strong focus on data modeling.
- This project aligns with the client's strategic vision to improve health care and become a destination for healthcare in the state of Indiana.
- Produces the detail surrounding accepted EA frameworks and logical system designs.
- Utilizes guiding principles & architectural policies to produce solution designs that anchor to IT portfolio standards and ensure long-term operational and administrative efficiencies.
- Acts as a coach/mentor to engineers, developers and architects throughout the IS organization.
- Ensures delivery teams are equipped with the leadership and guidance necessary to successfully deliver their solutions and keeps the enterprise architecture team informed regarding alignment with enterprise standards and guidelines.
- Bachelor's degree preferred or equivalent experience.
- Demonstrates 5-7 years of development experience plus a minimum of 3 - 5 additional years of specific architecture experience.
- Certifications are preferred to help demonstrate depth and breadth of expertise.
- Requires extensive experience in architecture design and optimization techniques.
- Requires experience leading virtual teams, facilitating constructive debate and driving outcomes within time and budget constraints.
- Azure, Python, Terraform, and Databricks.
- JSON, jinja templates, and Lakehouse Data Architecture.
- cloud database development or cloud ELT with an understanding of Kimball methodology
- Experience working in a Scaled Agile Framework (SAFe) environment.
- At least 5-7 years of experience in data architecture, with significant experience in a leadership role directing large-scale data strategy
- Experience in implementing and deploying big data applications
- Experience with Apache Spark, Cloud Composer/Apache Airflow, Dataflow/Apache Beam, Big Query
- Must have hands-on expertise in Python and/or Java/Scala; SQL proficiency preferred as well
- Experience with Observational Medical Outcomes Partnership (OMOP) Common Data
- Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps
- Knowledge of common healthcare data exchange formats (e.g., HL7, FHIR, CCDA), Big Data/ML/AI-related technology services for healthcare
- Comprehensive knowledge of data architecture principles, practices, and technologies, with an emphasis on current and emerging trends
- Demonstrated experience in leading the design and implementation of enterprise-wide data solutions that have significantly impacted business performance
- Exceptional leadership skills, with the ability to inspire and direct teams towards achieving organizational goals
- Strong strategic thinking and problem-solving abilities, with a track record of influencing high-stakes decisions
- Excellent communication skills, capable of effectively engaging with senior management, technical teams, and external partners
- Healthcare industry experience preferred
- Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.
- Experience working in an Agile environment with Azure DevOps is a plus