Data Platform Architect

ITAC
Birmingham, AL, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$130,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Information Engineering Data Infrastructure Python (Programming Language) Enterprise Messaging Systems Microsoft SQL Server Software Engineering SQL Server Analysis Services Transact-SQL Data Ingestion
+7 more
Azure Data Factory Snowflake Event Driven Architecture Kubernetes Apache Kafka Vertica Databricks

Job description

  • 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

Requirements

  • 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

Benefits & conditions

  • $115,000 - $140,000 base salary + bonus eligible

Apply for this position

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Prepare application

Good distractions

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

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Leveraging BigQuery ML for scalable SQL-based segmentation experiments

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

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System architecture for ingesting and processing enterprise data

Sandeep Kusuma Sandeep Kusuma · World Congress 2026 Europe

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Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

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Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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