{"id":2769291,"url":"https://alion.io/job/datanimbus-data-architect-2","title":"Data Architect","company":{"id":7501,"name":"DataNimbus","domain":"datanimbus.com","url":"https://alion.io/company/datanimbus","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-10T21:20:49Z","employer_posted_date":null,"last_verified_at":"2026-10-10T21:20:49Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"About DataNimbus: \n\nDataNimbus is an enterprise AI company with deep vertical solutions in financial services and industrial sectors. We build domain-native AI that understands how industries actually operate, not just how data flows through them. Our solutions are outcome-driven and industry-specific, delivering measurable results across how money moves, how assets perform, and how businesses grow. We go deep so our customers don't have to start from scratch.\n\nDomain depth. Enterprise scale. AI outcomes.\n\nWith headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity. We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization.\n\nWhat would help make your case:\n\n8+ years in data engineering or data platforms, including 4+ years hands-on with Databricks in production.\n2+ years as architect or technical lead, owning design decisions for a platform or program.\nLed at least 2 end-to-end migrations to Databricks from legacy platforms (e.g. Hadoop, Teradata, Oracle, Informatica, Synapse, Snowflake), each at TB scale or above.\nLed the design and delivery of at least 2 end-to-end Databricks lakehouse implementations, covering medallion architecture, data modeling (dimensional, Data Vault or similar), batch and streaming, Unity Catalog governance, and non-functional requirements (performance SLAs, cost, security, DR).\nOwned technical delivery of at least 1 Databricks program (team of 4+, 6+ months): scope, estimates, technical risks and timelines.\nAuthored architecture artifacts used by delivery teams and customers: design documents, architecture decision records (ADRs), reference architectures and C4/solution diagrams. Redacted samples may be requested.\nProduction experience with Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables or Workflows, and Structured Streaming.\nAdvanced SQL and production-grade PySpark (testing, packaging, code review), Scala a plus.\nDeep Apache Spark expertise (execution model, shuffle, Catalyst/Tungsten, memory, AQE, Structured Streaming state) applied to architecture decisions: data layout, partitioning and clustering strategy, cluster sizing and workload isolation.\nDeep expertise in one cloud (AWS, Azure or GCP) as it applies to Databricks (networking, IAM, storage, security), plus hands-on project experience in a second.\nImplemented CI/CD and infrastructure as code for Databricks in production (Databricks Asset Bundles, Terraform, GitHub Actions or Azure DevOps).\nDatabricks Certified Data Engineer Professional.\nConsulting / customer-facing experience, working with external clients across a variety of industry markets, including managing conflicting priorities and difficult stakeholder situations.\nStrong communication and collaboration skills.\nExcellent problem-solving skills.\n\nNice to have: MLOps / GenAI on Databricks: MLflow experiment tracking and model registry in Unity Catalog, feature tables, Model Serving, Lakehouse Monitoring for drift and data quality, and Vector Search for RAG. Includes designing the data pipelines that feed model training and inference\n\nWhy Join DataNimbus \n\nAt DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth.\n\nOur core values—Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can:\n\n● Work with cutting-edge technologies and revolutionize workfl ows in Data+AI solutions.\n● Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.\n● Grow personally and professionally in a culture that values curiosity and continuous learning. If you are passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you.","description_format":"text","description_chars":4107,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-17T03:17:59Z"}],"visa":[],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.839,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["seen:6","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/datanimbus-data-architect-2","json_url":"https://alion.io/job/datanimbus-data-architect-2.json","meta":{"generated_at":"2026-10-18T00:40:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1177,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7501},"rest":"https://alion.io/mcp/rest/get_company?id=7501"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatanimbus-data-architect-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatanimbus-data-architect-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatanimbus-data-architect-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datanimbus-data-architect-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatanimbus-data-architect-2"}]}