{"schemaVersion":"jobsearcher.job.v1","id":"0807cd5370ec1caf8f62c9c0","url":"https://jobsearcher.com/jobs/0807cd5370ec1caf8f62c9c0","canonicalUrl":"https://jobsearcher.com/jobs/0807cd5370ec1caf8f62c9c0","title":"Data Platform Architect — AWS & Databricks","description":"Data Platform Architect — AWS & DatabricksLong Term contract NO C2C or Third-party candidates Pay: 70 w2 or 80 1099 all-inclusive Required qualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.10+ years of experience in data engineering, data architecture, cloud data platforms, or a closely related discipline.5+ years of hands-on experience designing and delivering production data platforms and pipelines on AWS.Deep expertise in Databricks, including Delta Lake, Unity Catalog, cluster management, job/workflow orchestration, performance tuning, and workspace administration.Strong hands-on experience with AWS services across compute, storage, networking, orchestration, security, and identity, such as EC2, S3, Lambda, Glue, Step Functions, IAM, KMS, and related services.Proven experience designing ingestion, transformation, and warehousing pipelines for structured and unstructured data.Strong programming and data-engineering skills in Python, PySpark, SQL, and modern ETL/ELT patterns.Experience with data modeling, including dimensional, canonical, and lakehouse-oriented modeling approaches.Demonstrated experience leading or mentoring data engineering teams, managing delivery timelines, and maintaining high technical quality.Strong understanding of data governance, data quality, lineage, metadata management, access control, and secure cloud architecture.Excellent communication and stakeholder-management skills, with the ability to explain complex technical designs to both technical and business audiences.Preferred qualificationsExperience with agentic AI concepts, frameworks, and their practical application within modern data platforms.Familiarity with manufacturing industry data landscapes, operational systems, supply-chain data, IoT/telemetry data, or manufacturing analytics use cases.Experience with infrastructure-as-code tools such as Terraform or CloudFormation.Experience with CI/CD tooling, DevOps practices, and multi-environment deployment strategies.Experience with streaming technologies such as Kafka, Kinesis, or Databricks Structured Streaming.Experience integrating Databricks with BI, analytics, cataloging, orchestration, or AI/ML platforms.Relevant AWS and/or Databricks certifications are a plus.What success looks likeIn the first 90 days, you will assess the current data landscape, establish an architecture roadmap, define foundational engineering and governance standards, and begin delivering scalable AWS-Databricks solutions. Over time, you will build a high-performing data engineering capability that delivers reliable, governed, and business-ready data products at scale.+1","company":"Bisoft Consultancy Services","rawCompany":"bisoft consultancy services","city":"Garner","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-11-07T07:41:29.372Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Platform Architect — AWS & Databricks","description":"Data Platform Architect — AWS & DatabricksLong Term contract NO C2C or Third-party candidates Pay: 70 w2 or 80 1099 all-inclusive Required qualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.10+ years of experience in data engineering, data architecture, cloud data platforms, or a closely related discipline.5+ years of hands-on experience designing and delivering production data platforms and pipelines on AWS.Deep expertise in Databricks, including Delta Lake, Unity Catalog, cluster management, job/workflow orchestration, performance tuning, and workspace administration.Strong hands-on experience with AWS services across compute, storage, networking, orchestration, security, and identity, such as EC2, S3, Lambda, Glue, Step Functions, IAM, KMS, and related services.Proven experience designing ingestion, transformation, and warehousing pipelines for structured and unstructured data.Strong programming and data-engineering skills in Python, PySpark, SQL, and modern ETL/ELT patterns.Experience with data modeling, including dimensional, canonical, and lakehouse-oriented modeling approaches.Demonstrated experience leading or mentoring data engineering teams, managing delivery timelines, and maintaining high technical quality.Strong understanding of data governance, data quality, lineage, metadata management, access control, and secure cloud architecture.Excellent communication and stakeholder-management skills, with the ability to explain complex technical designs to both technical and business audiences.Preferred qualificationsExperience with agentic AI concepts, frameworks, and their practical application within modern data platforms.Familiarity with manufacturing industry data landscapes, operational systems, supply-chain data, IoT/telemetry data, or manufacturing analytics use cases.Experience with infrastructure-as-code tools such as Terraform or CloudFormation.Experience with CI/CD tooling, DevOps practices, and multi-environment deployment strategies.Experience with streaming technologies such as Kafka, Kinesis, or Databricks Structured Streaming.Experience integrating Databricks with BI, analytics, cataloging, orchestration, or AI/ML platforms.Relevant AWS and/or Databricks certifications are a plus.What success looks likeIn the first 90 days, you will assess the current data landscape, establish an architecture roadmap, define foundational engineering and governance standards, and begin delivering scalable AWS-Databricks solutions. Over time, you will build a high-performing data engineering capability that delivers reliable, governed, and business-ready data products at scale.+1","datePosted":"2026-11-07T07:41:29.372Z","dateModified":"2026-11-07T07:41:29.372Z","hiringOrganization":{"@type":"Organization","name":"Bisoft Consultancy Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Garner","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0807cd5370ec1caf8f62c9c0"},"url":"https://jobsearcher.com/jobs/0807cd5370ec1caf8f62c9c0"}}