Data Architect/Sr. Data Engineer

Insight Global; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

Insight Global is seeking a Data Architect / Senior Data Engineer to lead our data modernization on a Databricks platform, shaping data models for BI, AI/ML, and self-service analytics. You will mentor engineers and collaborate with DataOps, Data Strategy & Governance to deliver production-ready data products across domains.

The role emphasizes architecture ownership, operability, and governance, with an Atlanta HQ presence and onsite requirements 4 days a week.

Qualifications

• 5+ years of experience in Data Engineering or Data Architecture.
• 2+ years of experience with developing with Databricks.
• Strong expertise in data modeling concepts (conceptual, logical, physical; dimensional and domain-oriented models).
• Hands-on experience designing solutions on Databricks or modern cloud data platforms using the Medallion architecture.
• Deep knowledge of SQL and understanding of performance implications of data models.
• Experience designing data structures to support BI tools (Power BI) and advanced analytics.
• Proven experience implementing enterprise data governance through architecture across systems of record.
• Strong communication skills to influence across technical and business stakeholders.

Responsibilities

• Develop data architecture principles and modeling standards.
• Design models that power Power BI, AI/ML, and self-service analytics.
• Partner on solution design for complex data initiatives.
• Translate designs into production-ready implementations and build them.
• Collaborate with Data Strategy & Governance on model requirements and governance.
• Ensure architecture supports controls and standardized metadata.
• Structure data for performance and cost efficiency on Databricks.
• Influence batch vs streaming and data lifecycle decisions.
• Define semantic modeling contracts across domains.

Skills

Data modeling

Databricks

SQL

Data governance

BI integration

Tools

Databricks

Databricks Unity Catalog

Power BI

GitHub Copilot

Job description

*Must be able to come onsite Monday-Thursday*

Job Title: Data Architect / Senior Data Engineer

Overview

The Data & Insights organization at Insight Global is responsible for delivering Trusted Data & Verified Insights to power decision‑making, AI, BI, and self‑service analytics across the enterprise.

As a Data Architect / Senior Data Engineer, you will play a critical role in Insight Global's data modernization initiative, helping lead design and hands‑on implementation of our next‑generation data platform in Databricks. You will architect data models and build scalable, governed, and performant data models across multiple business domains, ensuring they enable Business Intelligence, AI/ML, and self‑service analytics at enterprise scale.

This role combines architecture with technical execution—defining data standards, modeling patterns, and architectural direction while actively leading the development of data products, pipelines, and medallion-layer models. As a senior technical engineer, you will mentor other engineers, drive engineering excellence, and work closely with solution architects and stakeholders to transform architectural vision into production‑ready data solutions that accelerate Insight Global's journey to becoming a world‑class data company.

This role reports into the Data Engineering and works in close partnership with DataOps, Data Strategy & Governance teams based out of the Atlanta office (HQ).

Key Responsibilities

• Develop data architecture principles and modeling standards across Enterprise Data Model, aligned to a modern Lakehouse Medallion Architecture.
• Design well‑structured, performant, and reusable data models that power:
• Power BI semantic models and reporting
• AI / ML and GenAI use cases
• Self‑service analytics across the organization
• Partner on solution design for complex data initiatives, ensuring architectural consistency, scalability, and operability.
• Translate architectural designs into buildable, production‑ready implementations, and build them!
• Collaborate closely with Data Strategy & Governance to align on data model requirements, business definitions, data ownership, and governance standards.
• Partner with Governance and Platform teams to ensure architecture patterns support enforceable controls (e.g., policy‑driven access, auditability, and standardized metadata) as part of the delivery definition of done.
• Ensure data is structured and pre‑computed appropriately to optimize performance, usability, and cost on Databricks.
• Influence architectural decisions around batch vs. streaming, compute strategies, and data lifecycle management.
• Establish design patterns that enable multi‑use, domain‑oriented data products rather than one‑off solutions.
• Drive semantic consistency across domains by defining and maintaining standardized business definitions, KPI logic, and metric calculation guidelines in partnership with Data Strategy & Governance and BI stakeholders.
• Establish and govern a semantic modeling “contract” (metrics, dimensions, grain, and conformance rules) to reduce duplicate/competing definitions and improve trust in reporting and self‑service.
• Champion operability and maintainability, ensuring architectures are easy to support, monitor, and evolve.
• Leverage AI‑assisted development practices (e.g., Databricks Genie, GitHub Copilot) to accelerate design and development.

Technical Focus

• Enterprise and domain‑driven data modeling
• Data structures optimized for AI / ML and self‑service consumption
• Performance‑aware modeling and pre‑aggregation strategies, and Development
• Supporting both greenfield and legacy modernization use cases
• Architectural definitions intended to be operationalized through shared platforms and engineering automation

Required Qualifications

• 5+ years of experience in Data Engineering or Data Architecture
• 2+ years of experience with developing with Databricks
• Strong expertise in data modeling concepts (conceptual, logical, physical; dimensional and domain‑oriented models).
• Hands‑on experience designing solutions on Databricks or modern cloud data platforms using the Medalion architecture.
• Deep knowledge of SQL and strong understanding of how data models impact performance and usability.
• Experience designing data structures that support BI tools (Power BI) and advanced analytics.
• Proven experience implementing enterprise data governance controls through architecture across multiple systems of record (authoritative source designations, canonical models, data contracts, and standard integration patterns) for production use.
• Strong communication skills and ability to influence across technical and business stakeholders.

Preferred Qualifications

• Experience with Databricks Unity Catalog, lineage, and governance tooling.
• Familiarity with AI / ML‑driven analytics and GenAI data requirements.
• Experience working in a global, distributed team model.
• Exposure to data mesh, domain‑oriented ownership, or product‑based data architectures.
• Background in enterprise modernization or large‑scale legacy platform migrations.

This Role Is Ideal If You:

• Enjoy owning architecture and design, not just implementing pipelines.
• Thrives at the intersection of strategy, engineering, and governance.
• Are passionate about well‑modeled, high‑quality data as the foundation for BI, AI, and self‑service.
• Think in systems and patterns, not one‑off solutions.
• Want to help shape the future of a modern, AI‑enabled data platform.
• Embody Insight Global’s shared values and contribute to a collaborative, high‑impact culture.