Principal Azure Data Platform Architect / Databricks & MLOps Lead

Chameleon Integrated Services•Tallahassee, FL

14h•Remote

About The Position

Chameleon Integrated Services is seeking a Principal Azure Data Platform Architect / Databricks & MLOps Lead to engineer the foundational infrastructure for a high-visibility contract with the Florida Office of the Chief Inspector General (OCIG). In this role, you will design, deploy, and automate the secure, multi-agency cloud data platform transforming a data analytics Proof of Concept (POC) into an enterprise-ready Decision Intelligence Platform. This platform will unify statewide oversight, tracking abnormal spending patterns, contract vulnerabilities, and fraud/waste/abuse risks across up to 35 state agencies. Because this is a high-visibility, firm-fixed-price (FFP) state government contract, you will maintain absolute technical accountability for establishing an infrastructure that guarantees a 99% or greater pipeline run success rate and a 99.5% or greater overall system availability rating.

Requirements

10+ years of comprehensive enterprise software or big data engineering experience.
5+ years of dedicated, hands-on Azure cloud architecture and data platform deployment work.
Extensive production-level experience configuring Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Databricks, and Azure Data Factory (or equivalent enterprise orchestration tools).
Advanced engineering proficiency in Python/PySpark and SQL for streaming and batch processing.
Expert knowledge designing Raw, Silver, and Gold data layer architectures, managing schema evolution, data quality validation, and ledger reconciliation scripts.
Proven success establishing API, database, and flat file-based ingestion pathways across highly disparate legacy architectures.
Advanced hands-on mastery of Azure security controls, including Entra ID, role-based access control (RBAC) alignment to least-privilege principles, managed identities, and Key Vault configuration.
Strong background building CI/CD deployment pipelines, version-controlled repositories, and production monitoring dashboards.
Documented experience supporting machine learning scoring workflows, model deployment automation, or data pipeline drift detection systems.
Proven history delivering technology, cloud architecture, or data infrastructure projects for local, state, military, or federal government entities.
Must be a U.S.-based citizen or resident.
Must be able to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award.

Nice To Haves

Direct experience deploying and managing architectures within secure Azure Government cloud environments.
Hands-on configuration experience utilizing MLflow, Delta Lake, or automated data lineage/metadata cataloging repositories.
Background managing technical integrations with Microsoft Power BI workspaces and handling specialized .pbix configuration templates.
Deep technical familiarity with NIST standards (SP 800-53/171), FedRAMP High control baselines, CJIS, or HIPAA data protection guidelines.
Prior experience establishing standardized multi-agency or cross-department state/federal data exchange models.

Responsibilities

Take complete engineering ownership of the core system architecture across four distinct, logically isolated State environments: Development (DEV), Test/QA (TEST), User Acceptance Testing (UAT), and Production (PROD).
Deploy, configure, and manage the State-owned infrastructure utilizing Azure Data Lake Storage Gen2 (ADLS Gen2) and integrated Databricks workspaces.
Establish robust, reproducible patterns for automated data ingestion, incremental/historical loading, canonical schema processing, business rule execution, and machine learning scoring engines.
Build and implement data pipeline monitoring to continuously demonstrate a 99% or greater successful run rate, factoring in real-time alerting for data anomalies, pipeline failures, or performance degradations.
Engineer automated version control, code rollback, environment promotion paths, and disaster recovery mechanics that align strictly with specified Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets.
Implement exhaustive logging, error handling, retry logic, and metadata management to preserve comprehensive source-to-target data lineage, providing the clear operational evidence required for independent OCIG verification testing.
Coordinate and execute the technical onboarding pipelines for an initial wave of 8–10 state agencies, establishing secure file transfer protocols and resolving cross-system schema differences.
Package and document all system components, mapping templates, code notebooks, and configuration files into a fully editable, non-proprietary State Ownership and Transition Package.