Data Architect

ITAC Solutions, LLC

Birmingham (AL)

Hybrid

USD 115,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work Birmingham
Annual bonus
Enterprise data platform
AI engineering initiatives
Large-scale challenges
Team collaboration

Job summary

ITAC Solutions, LLC seeks a Data Platform Architect in Birmingham, AL to design a modern enterprise data platform. You will lead data ingestion, storage, governance, and serving layers while hands-on developing with Python/Go and guiding AI-driven engineering initiatives.

This hybrid role operates across distributed teams and collaborates with executives to align strategy with business goals. The position requires 8+ years in data/engineering or architecture, deep SQL Server/SSAS/T-SQL

Qualifications

  • 8+ years of experience across data engineering, software engineering, architecture, or a related technical discipline.
  • Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL.
  • Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms.
  • Production-level development experience in Python and/or Go.
  • Experience designing event-driven architectures utilizing REST, Kafka, NATS, or CDC.
  • Experience operating workloads within Kubernetes environments.
  • Ability to drive AI-assisted engineering initiatives and platform strategy.

Responsibilities

  • Define and lead the target-state architecture for enterprise data platforms.
  • Design data ingestion, storage, modeling, governance, and serving solutions.
  • Build and support event-driven systems utilizing APIs, CDC, messaging platforms, and Kubernetes.
  • Drive AI-assisted engineering and development automation initiatives.
  • Establish data quality standards, governance, and security controls.
  • Lead architecture reviews and mentor engineering teams.
  • Translate business objectives into scalable technical roadmaps.

Skills

Data architecture
Leadership
Distributed systems

Tools

SQL Server
SSAS
Azure Data Factory
T-SQL
ClickHouse
Snowflake
BigQuery
Databricks
Python
Go
REST
Kafka
NATS
CDC
Kubernetes

Job description

Ready to architect the technology backbone behind a fast-growing organization in Birmingham? Our client is seeking a Data Platform Architect to design and lead a modern enterprise data platform that powers critical business decisions across a distributed organization. This is a unique opportunity to blend architecture, hands-on development, AI innovation, and executive collaboration while building systems at a significant scale.

C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.

Benefits & Extras
  • Opportunity to architect enterprise-wide data and integration platforms
  • Hands-on influence over AI-driven engineering initiatives and automation
  • Fast-growing organization with large-scale technical challenges
  • Hybrid work environment in Birmingham, AL
  • Annual bonus opportunity
  • Collaborative team focused on innovation and modern technologies
Compensation
  • $115,000 - $140,000 base salary + bonus eligible
What You'll Be Doing
  • Define and lead the target-state architecture for enterprise data platforms
  • Design data ingestion, storage, modeling, governance, and serving solutions
  • Build and support event-driven systems utilizing APIs, CDC, messaging platforms, and Kubernetes
  • Drive AI-assisted engineering and development automation initiatives
  • Establish data quality standards, governance, and security controls
  • Lead architecture reviews and mentor engineering teams
  • Translate business objectives into scalable technical roadmaps
What You'll Need to Be Considered
  • 8+ years of experience across data engineering, software engineering, architecture, or a related technical discipline
  • Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL
  • Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms
  • Production-level development experience in Python and/or Go
  • Experience designing event-driven architectures utilizing REST, Kafka, NATS, or CDC
  • Experience operating workloads within Kubernetes environments
  • Ability to drive AI-assisted engineering initiatives and platform strategy
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