About the Role
Virtix is seeking a Senior Database Engineer/DBA to join our Data & Analytics team. In this role, you will lead the design, optimization, and governance of the company’s data infrastructure, ensuring scalable and high-performing database systems. You will manage Microsoft Fabric and Azure-based environments, design enterprise data models, and deliver the “gold-layer” datasets used by Power BI developers. This is an excellent opportunity for a database professional with strong SQL, ETL, and healthcare data expertise to drive impactful analytics solutions.
Key Responsibilities
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Serve as the primary owner of database objects including tables, views, and stored procedures.
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Design and optimize datasets for Power BI reporting, ensuring consistency and eliminating duplication.
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Create and maintain Entity Relationship Diagrams (ERDs), application diagrams, and conceptual, logical, and physical data models.
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Build scalable analytics models using star schema and snowflake designs.
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Manage ETL pipelines and data orchestration through Azure Data Factory, ensuring reliability and auditability.
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Collaborate with developers, analysts, and business stakeholders to define logic and validate KPIs.
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Enforce database governance standards for naming conventions, indexing, and version control.
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Oversee database performance tuning, query optimization, and large-scale healthcare data management.
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Document schemas, transformations, and data definitions in a living data dictionary.
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Ensure compliance with healthcare regulations, including HIPAA and HITRUST.
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Participate in training programs and uphold the company’s ethics and compliance standards.
Minimum Qualifications
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5+ years of experience as a DBA or Data Engineer.
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Expertise in Microsoft Fabric lakehouse architecture (Bronze/Silver/Gold layers).
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Strong SQL/T-SQL skills with optimization, indexing, and partitioning experience.
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Proficiency in Azure SQL, Synapse, and Azure Data Factory.
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Experience with Azure DevOps (ADO) for CI/CD pipelines and release management.
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Proven ability to design and maintain ERDs, application diagrams, and data models.
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Familiarity with star schema and snowflake schema design patterns.
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Experience working with healthcare data (claims, coding, payer/provider reporting).
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Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
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Excellent written and verbal communication skills.
Desired Qualifications
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Knowledge of healthcare coding and reimbursement standards (ICD-10, CPT).
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Understanding of healthcare compliance frameworks (HIPAA, HITRUST).
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Proficiency in Python for data validation and pipeline automation.
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Experience with enterprise reporting tools such as Power BI Embedded and role-level security (RLS).
Work Environment & Physical Demands
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Minimal or no travel required.
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Regular computer-based work, eye-hand coordination, and manual dexterity.
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Ability to perform work in an environment with occasional interruptions.
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Ability to lift or move items up to 20 lbs infrequently.
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Prolonged sitting during periods of high activity and multiple deadlines.
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