Data Architect

Softek International Inc; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Softek International Inc. is seeking a senior data architect/engineer to lead enterprise data architecture efforts for large-scale analytics in the United States.

The role emphasizes AI-ready data architectures, unified schemas, governance, and scalable data structures spanning cloud platforms. The ideal candidate has hands-on Databricks experience (Delta Lake, Unity Catalog) and cloud-native AWS design skills, leveraging services like S3, IAM, KMS, Lambda, Glue, and RDS for robust analytics

Qualifications

• 12+ years of experience in enterprise data architecture, data engineering, or advanced database design for large-scale analytics.

Skills

Data architecture

Data engineering

Advanced database design

AI-ready data architectures

Databricks

AWS cloud architecture

Data governance

Streaming data ingestion

Agile environments

Federal programs experience

Tools

Delta Lake

Unity Catalog

Job description

• 12+ years of experience in enterprise data architecture, data engineering, or advanced database design supporting large-scale analytics environments.
• Proven experience designing AI-ready data architectures, including unified schemas, metadata standards, governed data models, and scalable data structures.
• Hands-on experience with Databricks architecture, including Delta Lake, Unity Catalog, Lakehouse architecture, and ETL/ELT pipelines.
• Strong experience designing cloud-native AWS architectures using services such as S3, IAM, KMS, Lambda, Glue, API Gateway, RDS, or Aurora.
• Demonstrated experience implementing data governance, including data lineage, metadata standardization, semantic models, ontologies, compliance, and data-quality practices.
• Experience supporting streaming data ingestion, microservices integration, and API-based data exchange.
• Experience working in Agile environments, preferably within Federal Government or large enterprise organizations.
• Possession of both required certifications, with the ability to provide valid certification documentation upon request.
• Prior experience supporting Federal data modernization or transformation programs.