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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable Azure data architectures, optimizing data pipelines, and ensuring compliance with HIPAA/HITRUST standards. Proficient in database development, data modeling, and integrating various data sources while providing technical leadership and mentorship.
Highest-signal resume keywords
Azure Data Architecture DesignExpert-Level T-SQL ProficiencyPython Development (FastAPI/Flask)Data Pipeline Development (ETL/ELT)HIPAA/HITRUST Compliance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
T-SQLPythonAzure Data FactoryAzure SynapsePower BIPostgreSQLCosmosDBData ModelingDatabase Performance TuningETL/ELT Processes
Soft Skills
Technical LeadershipCollaborationMentorshipProblem-SolvingCommunication
Tools & Technologies
Azure SQL DatabaseAzure Blob StorageAzure DevOpsGitPowerShellAzure Container AppsEvent GridAzure Service BusRedGate FlywayOpenAPI
Certifications & Qualifications
Azure Data Engineer AssociateAzure Database AdministratorPower BI Data Analyst
Industry Keywords
Healthcare TechnologyEHR IntegrationsFHIRC-CDAHL7Data GovernanceMetadata ManagementCompliance DocumentationInfrastructure as CodeCI/CD Practices
Tech Stack
Tools & technologiesAzureETLFlaskMS SQL ServerPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Design and implement scalable, secure Azure data architectures for business intelligence, analytics, and operational systems
- Build and maintain data pipelines using Azure Data Factory, Azure Synapse, and related services
- Contribute to database designs across Azure SQL Database, SQL Managed Instance, PostgreSQL, and CosmosDB
- Optimize storage strategies across Azure Blob Storage, Data Lake, and structured databases
- Design data models for efficient analytics and reporting
- Develop stored procedures, functions, triggers, and views
- Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures
- Perform database performance tuning, indexing, and query optimization
- Ensure data integrity, security, and HIPAA/HITRUST compliance for PHI data
- Manage database lifecycles across development, pre-production, and production using RedGate Flyway
- Design and implement ETL/ELT processes integrating multiple data sources
- Build event-driven processing solutions using Azure Service Bus and Event Grid
- Integrate external REST APIs and develop internal Python data APIs using FastAPI/Flask on Azure Container Apps or Functions
- Develop data transformation logic and orchestration workflows
- Ensure data quality, consistency, and lineage across the data platform
- Integrate Azure AI services and machine learning endpoints as needed
- Review Power BI semantic models, reports, and dashboards
- Translate business requirements into technical solutions with stakeholders
- Provide technical leadership and mentorship to junior developers and engineers
- Participate in architecture reviews and technical decision-making
- Collaborate with DevOps and Infrastructure teams on platform improvements
- Drive continuous improvement in data quality, performance, and reliability
- Maintain technical documentation, data dictionaries, architecture diagrams, process flows, lineage, transformation logic, and business rules
- Maintain audit trails and compliance documentation
- Troubleshoot complex data issues and provide production escalation support
- Participate in on-call rotation as needed
- Build EHR integrations using FHIR, C-CDA, and HL7 where needed
- Define OpenAPI specifications, API versioning, and contract tests
- Lead document templating and HTML-to-PDF rendering pipelines
- Report to the Director of Data Engineering
Requirements
What you’ll need- Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field, or equivalent work experience
- 8+ years of experience in data engineering, database development, or related roles
- Expert-level proficiency in T-SQL and Microsoft SQL Server
- Expert-level proficiency of Python
- Experience building REST APIs and background workers in Python (FastAPI/Flask)
- Understanding of event-driven architectures and asynchronous processing patterns
- Strong experience with Azure data services (Azure SQL, Data Factory, Synapse, Blob Storage, etc.)
- Hands-on experience building and maintaining data pipelines and ETL/ELT processes
- Knowledge of Power BI development including DAX, data modeling, and performance optimization
- Solid understanding of database design principles, normalization, and data modeling
- Experience with Git and CI/CD practices
- Microsoft certification (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst)
- Knowledge of Infrastructure as Code (Terraform, Bicep, ARM templates)
- Knowledge of Azure Container Apps, Functions, and Logic Apps
- Experience with PostgreSQL and CosmosDB
- Understanding of HIPAA/HITRUST compliance requirements
- Experience with PowerShell for automation and scripting
- Experience with Azure DevOps or similar CI/CD platforms
- Experience with data governance, cataloging, and metadata management
- Background in healthcare technology or regulated industries
- Experience with OpenAPI/Swagger specification design and contract testing
- Proficient in advanced AI development tooling such as Claude Code and GitHub Copilot
- Knowledge of Azure API Management and private networking patterns
- Willingness to travel up to 15%
- Practical experience with FHIR and C-CDA parsing/transformation
- Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems
- Experience with HL7 v2 message handling