Job Title: Data Architect\Engineer
Location: Indianapolis, IN
Day 1 onsite
Role Overview: We are seeking a talented Senior Data Architect with expertise in designing, building, and maintaining data architecture for healthcare analytics. The ideal candidate will have a strong background in setting up processes, defining data models, and implementing data governance frameworks. Experience with medical insurance data, including Medicare, Medicaid, and state healthcare programs, is highly preferable.
Responsibilities:
- Collaborate with stakeholders to understand business requirements and translate them into scalable data architecture solutions.
- Design and develop data models, data warehouses, and data lakes to support the storage, integration, and analysis of large volumes of healthcare data.
- Define data standards, policies, and procedures to ensure data quality, integrity, and security across the organization.
- Implement data governance processes to manage metadata, data lineage, and data access controls.
- Evaluate and select appropriate technologies and tools to support data architecture and analytics requirements.
- Lead the implementation of data migration, transformation, and ETL processes to enable seamless data integration and interoperability.
- Work closely with data engineers, data scientists, and other stakeholders to ensure alignment with business objectives and technical requirements.
- Stay current with emerging trends and best practices in data architecture, healthcare analytics, and regulatory requirements in the medical insurance industry.
- Provide technical leadership, guidance, and mentorship to junior team members.
Required Skills:
- Data Architecture Expertise:
- Proven experience in designing, developing, and maintaining data architectures for large-scale systems.
- Strong understanding of data modeling (conceptual, logical, and physical) and database design principles.
- Familiarity with relational, NoSQL, and cloud-based databases (e.g., SQL Server, MySQL, MongoDB, AWS, Azure).
- Healthcare Analytics Knowledge:
- Extensive experience with healthcare data, including Medicare, Medicaid, and state healthcare programs.
- Knowledge of healthcare regulatory requirements, HIPAA compliance, and PHI data management.
- Experience with medical insurance claims, clinical data, and other healthcare datasets.
- Data Governance & Quality Management:
- Expertise in implementing data governance frameworks, including metadata management, data lineage, and data stewardship.
- Familiarity with data quality management practices to ensure accuracy, completeness, and reliability of data.
- ETL & Data Integration:
- Experience with ETL processes, data migration, and data transformation.
- Hands-on experience with data integration tools (e.g., Informatica, Talend, Apache NiFi) and cloud data services.
- Data Warehousing & Data Lakes:
- Strong knowledge of data warehousing solutions, data lakes, and data lakehouses for storing and analyzing large volumes of structured and unstructured data.
- Familiarity with technologies like Snowflake, Redshift, Databricks, or Google BigQuery.
- Cloud Technologies:
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage, analytics, and services.
- Familiarity with cloud-native data architecture, serverless computing, and infrastructure-as-code.
- Data Security & Compliance:
- Proficiency in ensuring data security, privacy, and access control for sensitive healthcare data.
- Experience with encryption techniques, access control, and compliance with industry standards such as HIPAA.
- Technical Leadership & Collaboration:
- Strong ability to collaborate with cross-functional teams, including data engineers, data scientists, and business analysts.
- Experience leading technical teams, mentoring junior members, and providing architectural guidance.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Tools & Technologies:
- Proficiency in data modeling tools (e.g., Erwin, PowerDesigner).
- Experience with data visualization tools (e.g., Tableau, Power BI) and analytical frameworks (e.g., Spark, Hadoop).
- Knowledge of programming languages such as SQL, Python, and Scala.
- Regulatory Compliance & Emerging Trends:
- In-depth understanding of healthcare regulations and staying current with emerging trends in data architecture, healthcare analytics, and medical insurance.