Sr. Data Architect

4 weeks ago

Indianapolis, United States RADcube Full time

Job Title: Data Architect Location: Indianapolis, IN (Hybrid)

Duration: Long Term Contract

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.

Position Title: Senior Data Architect

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.

Desired Experience Level:

  • Data Architecture & Modeling: At least 7-10 years of experience designing and implementing complex data architectures, including data modeling and database design, particularly with large datasets.
  • Healthcare Analytics & Medical Insurance Data: At least 5 years of experience working with healthcare data, especially in areas like Medicare, Medicaid, and state healthcare programs. This includes familiarity with healthcare regulations, compliance, and privacy requirements.
  • Data Governance & Quality: 3-5 years of experience setting up and managing data governance frameworks, including defining data standards, policies, and procedures.
  • Technical Leadership & Mentorship: 3-5 years in a leadership capacity, guiding and mentoring junior team members, and working cross-functionally with other departments like data science and engineering.
  • Cloud & ETL Experience: Several years (at least 3-5) of hands-on experience with cloud data services (AWS, Azure, etc.) and ETL processes, ensuring data integration and migration strategies.

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