Data Architect

🕒 September 15

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Softek International

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1987

🔒 Cybersecurity

Cybersecurity • IT

Softek International is a pioneering company dedicated to reshaping user experiences through technology innovation. They specialize in Information Technology (IT), Software Development, and Cybersecurity, providing comprehensive services such as cybersecurity solutions, identity and access management, cloud implementation and migration, and digital transformation. Softek also offers ERP/CRM consulting and implementation, business intelligence and data analytics, and mobile and custom software development. The company is recognized as a SBA certified 8A, Woman-Owned Small Business (WOSB), and holds CMMI Level 3 and ISO quality management certifications. Softek has extensive experience supporting government agencies and organizations, providing IT services that drive efficiency and enterprise outcomes.

📋 Description

• Design enterprise and AI-ready data architectures for large-scale analytics environments • Develop unified schemas, metadata standards, governed data models, and scalable data structures • Architect Databricks environments using Delta Lake, Unity Catalog, Lakehouse architecture, and ETL/ELT pipelines • Design cloud-native AWS architectures using services including S3, IAM, KMS, Lambda, Glue, API Gateway, RDS, or Aurora • Implement data governance practices covering lineage, metadata, semantic models, ontologies, compliance, and data quality • Support streaming data ingestion, microservices integration, and API-based data exchange • Support Federal data modernization or transformation programs

🎯 Requirements

• 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

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