{"id":504291,"url":"https://alion.io/job/hitachi-databricks-platform-architect","title":"Databricks Platform Architect","company":{"id":129,"name":"Hitachi","domain":"hitachi.com","url":"https://alion.io/company/hitachi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":397,"ghost_share":0.003,"stale_share":0.647,"repost_share":0.023,"time_to_fill_p50_days":17,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":255000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-28T00:58:34Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":54},"description":"Function\nIoTOur Company\nWe’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.\nImagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.\nJob description\nRole Summary\nWe are looking for a highly skilled Databricks Platform Architect to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/GCP) with architectural leadership, solution design capability, and strong stakeholder engagement skills.\nKey Responsibilities\nDatabricks on AWS Platform Architect - Platform Architecture\nArchitect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.\nDesign data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.\nDefine networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.\nEstablish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).\nImplement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.\nDesign high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.\nEnable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.\nDefine CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.\nOptimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.\nProvide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.\nCore Technologies: Databricks, AWS S3, Delta Lake, Unity Catalog, Spark/PySpark, Terraform, GitHub, CI/CD, CloudWatch, Mosaic AI, Genie, Vector Search, MLflow, Kafka, Airflow, Kubernetes.\nAbout us\nWe’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.\nFostering innovation through diverse perspectives\nHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.\nWe are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.\nHow we look after you\nWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. 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