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Sr Azure​/Snowflake Data Platform Architect

Job in Southlake, Tarrant County, Texas, 76092, USA
Listing for: GI ALLIANCE
Full Time position
Listed on 2026-11-02
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Information Security & Data Protection, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Sr Azure/ Snowflake Data Platform Architect
Company Conformance Statements In the performance of their respective tasks and duties all employees are expected to conform to the following:

Perform quality work within deadlines with or without direct supervision.

Interact professionally with other employees, customers and suppliers.

Work effectively as a senior contributor on all projects.

Work independently while understanding the necessity for communicating and coordinating team efforts with departments and organizations.

Position purpose

The Senior Azure / Snowflake Data Platform Architect will define the target-state architecture, engineering standards, security model, environment strategy, and operational governance for The Specialty Alliance’s enterprise data platform. The role is intended for a physician-led, multi-specialty MSO that depends on shared services, analytics, and scalable enterprise infrastructure while preserving autonomy across affiliated practices.

This architect will lead design decisions spanning Azure cloud services, Snowflake platform architecture, identity and access patterns, data integration, resiliency, cost governance, observability, and platform enablement. The role is particularly important as TSA builds a cloud-native data foundation capable of supporting enterprise analytics, revenue-accounting automation, practice onboarding, AI-ready semantic layers, and future specialty expansion.

The primary purpose of the role is to create a secure, scalable, governed, and cost-disciplined Azure and Snowflake platform that can support multiple data products and enterprise use cases. This role provides the architectural guardrails and platform patterns that allow delivery teams to build faster without sacrificing security, auditability, performance, or maintainability.

Responsibilities/Duties/Functions/Tasks:

Define the target-state architecture for TSA’s Azure and Snowflake data platform, including environment strategy, logical and physical architecture, data domains, platform boundaries, and reference patterns.

Design Snowflake account, database, schema, warehouse, storage, and workload-isolation strategies that support secure multi-domain growth and predictable performance.

Establish enterprise identity, access, and security architecture, including RBAC, least privilege, separation of duties, SSO, service principals, data masking, network policies, secrets handling, and privileged-access controls.

Define standards for ingestion, transformation, orchestration, metadata, lineage, semantic modeling, observability, disaster recovery, and production support.

Architect resilient platform patterns for practice onboarding, acquisitions, source-system integration, cross-domain data sharing, and controlled release management.

Lead platform cost governance and Fin Ops practices, including workload attribution, warehouse optimization, cost visibility, environment sizing, retention strategies, and usage monitoring.

Partner with engineering leaders to establish infrastructure-as-code, CI/CD, environment promotion, and automated provisioning patterns for Snowflake and Azure services.

Define disaster recovery, replication, backup, failover, and business-continuity strategies for platform-critical workloads.

Support data governance by aligning platform design to stewardship, classification, lineage, privacy, and retention requirements.

Provide technical leadership and architectural review for enterprise initiatives such as revenue accounting, enterprise analytics, interoperability, master data, and AI-enabled data products.

Evaluate emerging platform capabilities, including AI-ready semantic layers, governed search, and agentic or natural-language analytics patterns, and determine practical enterprise use cases.

Mentor engineers,…
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