{"schemaVersion":"jobsearcher.job.v1","id":"aa22edfba2ce04da01c4f1ee","url":"https://jobsearcher.com/jobs/aa22edfba2ce04da01c4f1ee","canonicalUrl":"https://jobsearcher.com/jobs/aa22edfba2ce04da01c4f1ee","title":"Databricks Data Architect","description":"Role/Job Title : Databricks Data Architect\n\nStart Date : ASAP\n\nLocation : Preferably Dallas or Atlanta\n\n*Role Description - *Looking for full-time Data Architect/Databricks Solution Architect with strong Data Engineering background along with hands on Databricks and Azure skills, for on-site roles based in the Atlanta and Dallas Metropolitan Area. This role is responsible for leading the design and technical delivery of a large-scale data and AI platform implementation. This is a high-visibility, cross-technical role requiring someone who can build modern data and AI platforms built on the Databricks Lakehouse architecture, and for defining scalable, secure, and high-performing enterprise data solutions that accelerate digital transformation and analytics initiatives. The ideal candidate combines deep technical expertise with strong consulting and client-facing skills.\n\n*Key Responsibilities*\n\n* Collaborate with product teams, and data stewards to design and govern data solutions that ensure consistency, quality, and scalability across the Digital Experience ecosystem.\n* Lead data architecture efforts that enable AI and automation adoption — identify enhancements, establish governance frameworks, and deliver scalable data foundations.\n* Provide cross-product visibility by helping teams understand data impacts, integrations, and end-to-end data flows across Digital Experience systems and beyond.\n* Evaluate new work intake for data architecture impact and develop high-level designs for initiatives that break new ground.\n* Develop end-to-end enterprise data and analytics solutions using the Databricks Lakehouse Platform.\n* Define scalable reference architectures, data models, integration patterns, and technology roadmaps aligned with business and enterprise architecture standards.\n* Develop robust data ingestion, ETL/ELT, streaming, transformation, governance, and analytics solutions.\n* Lead discovery workshops and collaborate with business stakeholders to gather functional and non-functional requirements.\n* Guide implementation teams on best practices for Databricks, Apache Spark, Delta Lake, Unity Catalog, and cloud-native services.\n* Design secure, governed, and cost-optimized data platforms with a focus on scalability, performance, and reliability.\n* Integrate Databricks with enterprise applications, ERP platforms, APIs, cloud data services, and modern analytics ecosystems.\n* Conduct architecture, design, and code reviews to ensure solution quality and adherence to enterprise standards.\n* Optimize data pipelines, workloads, and infrastructure for performance and cost efficiency.\n* Mentor data engineers and technical teams while promoting engineering excellence and architectural best practices.\n* Create reusable frameworks, accelerators, reference implementations, and architectural assets that strengthen Data & AI offerings.\n* Stay current with emerging Databricks capabilities, AI innovations, and cloud-native data engineering best practices.\n\n*Required Qualifications:*\n\n* Bachelor's or master's degree in computer science, Information Systems, Engineering, or related field.\n* 10+ years of experience in software engineering, data engineering, data architecture, or enterprise analytics solution development.\n* 3+ years of hands-on experience designing, developing, and implementing enterprise solutions on the Databricks Lakehouse Platform.\n* Strong expertise with Databricks technologies, including Delta Lake, Unity Catalog, Databricks Workflows, Databricks SQL, and Mlflow. Advanced proficiency in Python, PySpark, SQL, and Apache Spark.\n* Proven experience building scalable enterprise ETL/ELT pipelines, batch and streaming data processing solutions.\n* Strong understanding of modern data architecture, data governance, metadata management, Unity Catalog, security, identity and access management (IAM), and regulatory compliance.\n* Excellent communication, stakeholder management, and consulting skills, with the ability to translate business and technical requirements into scalable solution designs.\n\n*Preferred Qualifications:*\n\n* Databricks Certified Data Engineer Professional or Solution Architect certifications.\n* Azure Developer or equivalent cloud certification.\n* Working experience on Healthcare or Retail domain.\n* Familiarity with Snowflake or any other equivalent data platform.\n\nPay: $60.00 - $80.00 per hour\n\nWork Location: In person","company":"Winfo Solutions","rawCompany":"winfo solutions","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-07T16:37:25.372Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Data Architect","description":"Role/Job Title : Databricks Data Architect\n\nStart Date : ASAP\n\nLocation : Preferably Dallas or Atlanta\n\n*Role Description - *Looking for full-time Data Architect/Databricks Solution Architect with strong Data Engineering background along with hands on Databricks and Azure skills, for on-site roles based in the Atlanta and Dallas Metropolitan Area. This role is responsible for leading the design and technical delivery of a large-scale data and AI platform implementation. This is a high-visibility, cross-technical role requiring someone who can build modern data and AI platforms built on the Databricks Lakehouse architecture, and for defining scalable, secure, and high-performing enterprise data solutions that accelerate digital transformation and analytics initiatives. The ideal candidate combines deep technical expertise with strong consulting and client-facing skills.\n\n*Key Responsibilities*\n\n* Collaborate with product teams, and data stewards to design and govern data solutions that ensure consistency, quality, and scalability across the Digital Experience ecosystem.\n* Lead data architecture efforts that enable AI and automation adoption — identify enhancements, establish governance frameworks, and deliver scalable data foundations.\n* Provide cross-product visibility by helping teams understand data impacts, integrations, and end-to-end data flows across Digital Experience systems and beyond.\n* Evaluate new work intake for data architecture impact and develop high-level designs for initiatives that break new ground.\n* Develop end-to-end enterprise data and analytics solutions using the Databricks Lakehouse Platform.\n* Define scalable reference architectures, data models, integration patterns, and technology roadmaps aligned with business and enterprise architecture standards.\n* Develop robust data ingestion, ETL/ELT, streaming, transformation, governance, and analytics solutions.\n* Lead discovery workshops and collaborate with business stakeholders to gather functional and non-functional requirements.\n* Guide implementation teams on best practices for Databricks, Apache Spark, Delta Lake, Unity Catalog, and cloud-native services.\n* Design secure, governed, and cost-optimized data platforms with a focus on scalability, performance, and reliability.\n* Integrate Databricks with enterprise applications, ERP platforms, APIs, cloud data services, and modern analytics ecosystems.\n* Conduct architecture, design, and code reviews to ensure solution quality and adherence to enterprise standards.\n* Optimize data pipelines, workloads, and infrastructure for performance and cost efficiency.\n* Mentor data engineers and technical teams while promoting engineering excellence and architectural best practices.\n* Create reusable frameworks, accelerators, reference implementations, and architectural assets that strengthen Data & AI offerings.\n* Stay current with emerging Databricks capabilities, AI innovations, and cloud-native data engineering best practices.\n\n*Required Qualifications:*\n\n* Bachelor's or master's degree in computer science, Information Systems, Engineering, or related field.\n* 10+ years of experience in software engineering, data engineering, data architecture, or enterprise analytics solution development.\n* 3+ years of hands-on experience designing, developing, and implementing enterprise solutions on the Databricks Lakehouse Platform.\n* Strong expertise with Databricks technologies, including Delta Lake, Unity Catalog, Databricks Workflows, Databricks SQL, and Mlflow. Advanced proficiency in Python, PySpark, SQL, and Apache Spark.\n* Proven experience building scalable enterprise ETL/ELT pipelines, batch and streaming data processing solutions.\n* Strong understanding of modern data architecture, data governance, metadata management, Unity Catalog, security, identity and access management (IAM), and regulatory compliance.\n* Excellent communication, stakeholder management, and consulting skills, with the ability to translate business and technical requirements into scalable solution designs.\n\n*Preferred Qualifications:*\n\n* Databricks Certified Data Engineer Professional or Solution Architect certifications.\n* Azure Developer or equivalent cloud certification.\n* Working experience on Healthcare or Retail domain.\n* Familiarity with Snowflake or any other equivalent data platform.\n\nPay: $60.00 - $80.00 per hour\n\nWork Location: In person","datePosted":"2026-10-07T16:37:25.372Z","dateModified":"2026-10-07T16:37:25.372Z","hiringOrganization":{"@type":"Organization","name":"Winfo Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aa22edfba2ce04da01c4f1ee"},"url":"https://jobsearcher.com/jobs/aa22edfba2ce04da01c4f1ee"}}