Azure Data Architect

Insight Global is seeking a Data (Azure) Architect to join a team in the Phoenix, AZ area. This role would be required to be onsite 3x a week in the Central Phoenix area and the remaining 2 days remote. This role would be stepping into an existing team of around 8-10 engineers and would be working alongside 2 Architects overseeing the Enterprise Architecture environment for a given platform. This platform initially was on legacy SQL and migrated over to Dynamics, SQL Server on the back end and data warehouse in synapse that is getting further developed.

The architect will perform continuous maintenance and operations work in the cloud environment. They will review and analyze the platform's data infrastructure, plan future database solutions, and implement systems to support data management for users.

Additionally, this role is accountable for ensuring data integrity, making sure the team adheres to data governance standards to maintain accuracy, consistency, and reliability across all systems. The architect will identify data discrepancies and quality issues, and work to resolve them.

This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions.


Duties would include:
* Data support of Azure Environment, also utilize informatica here but this resource would focus on anything on the platform back end.
* Leading the data strategy for the Platform. Owning the ETL processes, and general architecture.
* Vetting out new solutions and ensuring they are a good fit for the organization
* 50% of the time will be spent on AI Side, Use cases building with AI
* 50% of the time focusing on Documentation and Architecture
* Design scalable data lake and data architectures using Databricks and cloud-native services.
* Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures.
* Optimize data workloads and performance.
* Define data governance frameworks
* Design and develop robust data pipelines.
* Architect AI systems, including RAG workflows and prompt engineering.
* Lead cloud migration initiatives from legacy systems to modern data platforms.
* Provide architectural guidance, best practices, and technical leadership across teams.
* Build documentation, reusable modules, and standardized patterns.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 6+ years of experience in data engineering or .NET development.
• Strong expertise in cloud platforms, primarily Azure or AWS.
• Hands-on experience with Databricks.
• Deep proficiency in Python and SQL.
• Expertise in building ETL/ELT pipelines and ADF workflows.
• Experience architecting data lakes and implementing data governance frameworks.
• Hands-on experience with CI/CD, DevOps, and Git-based development.
• Ability to translate business requirements into technical architecture.

Technical Expertise:
Programming: Python, SQL, R
Big Data: Hadoop, Spark, Kafka, Hive
Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS
Data Warehousing: Redshift, SQL Server
ETL/ELT Tools: SSIS

Experience with AI/ML integration and large language models (e.g., GPT-based solutions).

Familiarity with healthcare platforms or regulated environments.

Knowledge of Python or R for analytics and automation.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.