{"id":2992440,"url":"https://alion.io/job/cai-databricks-architect","title":"Databricks Architect","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":29,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":50000,"period":"year","method":"role_seniority_country_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-27T23:30:38Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Databricks ArchitectReq number:\nR8699Employment type:\nFull timeWorksite flexibility:\nRemoteWho we are\nCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.\nJob Summary\nWe are looking for a motivated Databricks Architect ready to take us to the next level! If you have lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks and are looking for your next career move, apply now.Job Description\nWe are looking for a Databricks Architect to lead the design, implementation, governance, and optimization of enterprise-scale data and AI platforms on Databricks. This position will be full-time and remote.\nWhat You'll Do\nDefine and own the enterprise Databricks architecture strategy, ensuring scalability, security, reliability, and alignment with business and AI objectives\nDesign modern data platforms leveraging Databricks Lakehouse, Delta Lake, Unity Catalog, and AWS services\nLead the architecture and modernization of data warehouses, data lakes, and analytical platforms into scalable Lakehouse architectures\nEstablish enterprise standards, frameworks, and best practices for data ingestion, transformation, orchestration, governance, and consumption\nDesign and implement secure, high-performance batch and real-time data processing solutions\nDevelop reference architectures for data engineering, advanced analytics, machine learning, and generative AI workloads\nDefine data governance, lineage, metadata management, security, and compliance standards across the data platform\nArchitect scalable and reusable data models that support reporting, analytics, operational intelligence, and AI use cases\nGuide implementation teams on platform setup, workspace design, networking, access controls, monitoring, and operational readiness\nDrive platform optimization initiatives related to compute utilization, workload management, storage performance, and cost efficiency\nLead architectural reviews and provide oversight for critical data and AI initiatives\nCollaborate with business stakeholders, product owners, data engineers, ML engineers, and cloud teams to translate requirements into technical solutions\nEstablish observability frameworks for monitoring platform health, performance, data quality, and usage patterns\nEvaluate emerging Databricks capabilities and recommend adoption strategies that enhance business value\nDevelop migration strategies and execution roadmaps for legacy data platforms transitioning to Databricks\nDefine disaster recovery, business continuity, backup, and resilience requirements for enterprise data platforms\nDrive architecture governance through design reviews, standards enforcement, and continuous improvement initiatives\nMentor engineering teams and provide technical leadership on complex architecture decisions\nDeliver executive-level architecture documentation, roadmaps, solution blueprints, and technology recommendations\nHands-on experience with both AWS and Azure cloud platforms, including architecture design, security, networking, storage, governance, and data services\nStrong understanding of multi-cloud data platform strategies and the ability to architect solutions across AWS and Azure environments\nExperience integrating Databricks with AWS and Azure native services to support enterprise analytics, data engineering, and AI use cases\nWhat You'll Need\nRequired:\nBachelor's degree or higher in Computer Science, Information Technology, Engineering, Data Science, or a related field\n10+ years of experience in data engineering, data architecture, cloud architecture, or enterprise technology leadership roles\n5+ years of hands-on experience with Databricks and modern cloud-based data platforms\nExtensive experience designing and implementing enterprise-scale data lake, data warehouse, and Lakehouse architectures\nStrong expertise in Databricks, Delta Lake, Unity Catalog, Workflows, and Databricks SQL\nHands-on experience with AWS services such as S3, IAM, Glue, Lambda, EC2, RDS, Redshift, CloudWatch, and networking services\nExperience designing data pipelines using Spark, PySpark, SQL, and modern orchestration frameworks\nDeep understanding of data governance, security, metadata management, cataloging, lineage, and compliance requirements\nExperience with CI/CD, Infrastructure as Code, DevOps, and platform automation practices\nStrong knowledge of analytics, machine learning, and AI data platform requirements\nExperience establishing enterprise architecture standards, patterns, and best practices\nProven ability to design highly available, scalable, and cost-efficient cloud architectures\nStrong stakeholder management skills with experience engaging executive leadership, business stakeholders, and technical teams\nAbility to evaluate trade-offs and make architecture decisions in complex and ambiguous environments\nStrong communication and presentation skills with the ability to influence technical and non-technical audiences\nProven leadership experience driving large-scale transformation and modernization initiatives\nPreferred :\nKnowledge of Databricks Genie, AI/BI capabilities, and natural language-driven analytics solutions\nDatabricks Certified Data Engineer Professional certification\nDatabricks Certified Machine Learning Professional certification\nDatabricks Certified Platform Architect certification\nAWS Solutions Architect Associate certification\nPhysical Demands\nAbility to safely and successfully perform the essential job functions\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\nReasonable accommodation statement\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to  (888) 824 - 8111.","description_format":"text","description_chars":6476,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)","IT Staffing & Staff 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