Data Architect

Agile Resources, Inc.; Atlanta (GA); Hybrid; USD 198,000 - 242,000; Full time

Benefits offered by this job

Disability insurance

HSA/FSA options

Paid time off

Job summary

Agile Resources, Inc. is seeking a senior Data Architect to own end-to-end design and evolution of an enterprise data platform.

You will drive the transformation from current state to a scalable target-state architecture across domains, with an emphasis on governance, data sharing, and secure consumption of data. You will stay hands-on to guide implementation while setting architectural direction, collaborating with engineering to translate designs into buildable epics and documentation for

Qualifications

• Experience leading an enterprise data transformation with measurable benefits.
• Strong data modeling across multiple systems/domains.
• Azure data platforms expertise including Databricks, ADLS, Delta Lake, Synapse/Microsoft Fabric.
• Hands-on governance: metadata, lineage, data quality, cataloging and security standards.
• Senior-level architecture leadership, delivering direction while staying close to delivery.

Responsibilities

• Lead an enterprise data transformation from current environment to a modern target-state architecture and articulate changes and benefits.
• Develop enterprise data models defining structure, relationships, and shared consumption across domains and systems.
• Define and govern architectural standards and reference patterns for Azure-based data platforms (Databricks, ADLS, Delta Lake, Synapse, Microsoft Fabric).
• Drive adoption of data governance practices including metadata management, lineage, data quality, cataloging, and security standards.
• Establish security/access-control patterns balancing least-privilege with self-service access; translate architecture into epics and designs.

Skills

Enterprise data transformation

Data modeling

Azure data platforms

Data governance

Architecture leadership

Databricks

ADLS

Delta Lake

Synapse

Microsoft Fabric

Spark/PySpark

Python

SQL

Tools

Databricks

ADLS

Delta Lake

Synapse

Microsoft Fabric

Spark/PySpark

Python

SQL

Job description

Location: Hybrid Remote in Atlanta (3 days onsite/week).

Salary: Up to $220,000 (depending on experience) + bonus

• Short- and Long-Term Disability (STD/LTD)
• HSA & FSA options
• Paid Time Off (PTO)

This Data Architect role owns the end-to-end design and evolution of an enterprise data platform, moving from the current state to a materially improved architecture that scales across domains. Success is defined by delivering a clear target-state data architecture, enabling consistent data sharing and reuse across systems, and putting governance in place so teams can trust and securely consume data. The role is hands-on and requires staying close to implementation while setting architectural direction.

Responsibilities:

• Lead an enterprise data transformation from the current environment to a modern target-state architecture, clearly articulating what changes are required, why they improve outcomes, and how teams will execute them.
• Develop enterprise data models that define how data is structured, related, and shared across domains and systems, reducing duplication and preventing siloed definitions.
• Define and govern architectural standards and reference patterns for Azure-based data platforms, guiding implementation across services such as Databricks, ADLS, Delta Lake, Synapse, and/or Microsoft Fabric.
• Drive adoption of data governance practices including metadata management, lineage, data quality controls, cataloging, and enterprise data standards.
• Establish security and access-control patterns for data platforms, balancing least-privilege controls with reliable self-service access for approved users and systems.
• Partner with engineering teams to translate architecture into buildable epics and technical designs, reviewing implementations to ensure alignment with the target-state platform.
• Create clear architecture documentation (current state, future state, transition roadmaps, decision records) that enables consistent execution and simplifies onboarding for delivery teams.
• Guide data product and platform teams on scalable data consumption patterns (shared datasets, reusable definitions, and integration contracts) to support reporting and downstream applications.

Required Skills:

• Demonstrated experience personally leading an enterprise data transformation from an existing environment to a materially better data architecture/platform, with the ability to explain what changed and the measurable benefits.
• Strong enterprise data modeling experience designing data structures, relationships, and shared consumption patterns across multiple systems, domains, or product modules.
• Architecture experience with modern Azure data platforms, including Databricks, ADLS, Delta Lake, Synapse, and/or Microsoft Fabric.
• Hands-on experience establishing enterprise data governance practices such as metadata, lineage, data quality, cataloging, security/access controls, and data standards.
• Senior-level, hands-on architecture leadership capability: able to set architectural direction while remaining close to implementation and delivery details.

Preferred Skills:

• Production lakehouse experience with Databricks and Delta Lake, including Medallion/Bronze-Silver-Gold architecture patterns.
• Experience building shared enterprise semantic models, standardized KPIs, and reusable data definitions that work across business functions or product modules.
• Hands-on experience with Spark/PySpark, Python, SQL, and enterprise ETL/ELT or streaming data architectures.
• Experience designing data foundations that support AI/ML, RAG, or GenAI use cases, including scalable feature/data access patterns and governance considerations.