Principal Data Architect

Insight Global
Mount Laurel Township, NJ, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Customer Data Management Data Architecture Data Governance Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) SQL Databases Azure Data Factory Data Lakes

Requirements

Proven delivery of a centralized data platform, warehouse, or lakehouse

Azure data platform experience (Azure Data Factory, Synapse, Fabric, Data Lake, and related services)

Expert SQL and a primary engineering language, ideally Python, plus real experience designing and building production ELT and ETL pipelines and data quality frameworks

Fluency with AI assisted development (actively use tools like Claude Code)

Strong communication skills

Healthcare Background (claims, eligibility, prior authorization, or pharmacy and Rx data) Experience in a regulated environment such as HIPAA or HITRUST

Salesforce data extraction at scale (Salesforce data model and pulling data out reliably via APIs such as Bulk API or CDC into an external platform.)

About the company

Insight Global is hiring for a full time Principle Data Architect to join a leading Health Insurance Agency. This team is looking to build a centralized data platform from the ground up, and looking for this person to architect it and build it. This is the cornerstone technical hire for the data team, that blends the role of a senior architect and hands-on

engineer. You will design the architecture on Azure, then personally build the pipelines to achieve the end goal, using AI assisted development and selective vendor or outsourced help to accelerate where it makes sense. This role can be remote across the US with the expectation of being in office 25% of the time.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

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Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

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Reinventing data governance as a collaborative business foundation

Farooq Sheikh Farooq Sheikh +3 · World Congress 2025

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

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System architecture for ingesting and processing enterprise data

Sandeep Kusuma Sandeep Kusuma · World Congress 2026 Europe

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