{"id":53835,"url":"https://alion.io/job/vanguard-databricks-platform-engineer-aws","title":"Databricks Platform Engineer (AWS)","company":{"id":253,"name":"The Vanguard Group","domain":"vanguard.com","url":"https://alion.io/company/vanguard","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":81,"open_postings":85,"ghost_share":0.059,"stale_share":0.506,"repost_share":0.212,"time_to_fill_p50_days":27,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bamboo","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-22T02:34:46Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ghost","repost_count":3,"flags":["repost"],"days_open":71},"description":"About Vanguard\nFounded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.\nVanguard India\nVanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.\nRole Summary\nThis role provides advanced level technical platform development and support for complex projects. An ideal candidate for this role is a platform-focused databricks expert (5-8 years of experience) who can build, secure, automate, and operate Databricks on AWS, work directly with clients and stakeholders, solve complex platform challenges, and drive enterprise-wide adoption of Databricks capabilities\nResponsibilities\nProvision and configure Databricks Accounts, Workspaces, Unity Catalog, and supporting AWS infrastructure.\n\nDesign, deploy, and manage multi-environment platforms (Dev/Test/Prod) and automate platform provisioning and configuration using Terraform and CloudFormation.\n\nConfigure and manage AWS services including VPC, Subnets, Security Groups, IAM, KMS, S3, Lambda, EC2, ECS, RDS, CloudWatch, resolving WIZ violations and related cloud services.\n\nImplement and govern Unity Catalog, including metastores, catalogs, schemas, external locations, storage credentials, dashboards, Databricks Apps and fine-grained access controls to enable secure data sharing and enterprise data governance.\n\nImplement observability and operational monitoring using Databricks System Tables, audit logs, cluster logs, usage metrics, and cloud monitoring solutions to improve platform reliability and user experience.\n\nAnalyze platform usage patterns, cluster utilization, DBU consumption, and infrastructure costs to identify optimization opportunities and implement cost governance controls.\n\nSupport migration, onboarding, and enablement of enterprise applications, data engineering workloads, AI/ML platforms, and GenAI use cases onto Databricks while adhering to architecture and security standards.\n\nLeverage Databricks Asset Bundles (DAB), Databricks CLI, REST APIs, Git integration, and CI/CD pipelines to automate deployment and lifecycle management of notebooks, jobs, workflows, and platform configurations.\n\nEnable AI/ML and GenAI capabilities, including MLflow, Model Serving, Feature Store, Vector Search, and Mosaic AI, while supporting governance, monitoring, and operationalization of machine learning workloads.\n\nImplement and govern Unity Catalog, including metastores, catalogs, schemas, external locations, storage credentials, and fine-grained access controls.\n\nEnable audit logging, lineage tracking, data access governance, and platform monitoring to meet enterprise standards and analyze DBU consumption, cluster usage patterns, and AWS infrastructure spend to identify optimization opportunities and implement cost governance controls.\n\nProvide hands-on troubleshooting and operational support for platform, integration challenges and troubleshoot infrastructure, networking, security, authentication, and connectivity issues.\n\nPartner directly with application teams, data engineers, data scientists, architects, and business stakeholders to understand business requirements and recommend platform solutions.\n\nAct as a trusted advisor and primary point of contact for Databricks platform capabilities and adoption.\n\n Qualifications and Skills\nMinimum 5 years of experience in cloud engineering, infrastructure management, or cloud operations.\n\nBachelor’s degree (B.E./B.Tech in Computer Science/IT) or equivalent experience.\n\nStrong experience with Databricks administration and platform engineering.\n\nDeep understanding of Databricks platform components including Unity Catalog, Workflows, SQL Warehouses, Cluster Policies, Delta Lake, Auto Loader, Structured Streaming, and Lakehouse architectures.\n\nHands-on experience with Databricks Asset Bundles (DAB), Databricks CLI, REST APIs, Git integration, and platform automation.\n\nExpertise in AWS services including VPC, IAM, EC2, S3, KMS, Lambda, RDS, CloudWatch, and cloud networking.\n\nHands-on experience with Terraform, CloudFormation, Infrastructure as Code (IaC), and automation frameworks.\n\nStrong understanding of RBAC, governance, security controls, and enterprise compliance requirements.\n\nExperience implementing and supporting CI/CD pipelines using GitHub Actions, Jenkins, or equivalent tools.\n\nProficiency in Python, SQL, Type Script, REST APIs, and scripting for platform automation.\n\nExperience supporting enterprise-scale production platforms and mission-critical workloads.\n\nHands-on expertise with GitHub, Bitbucket/Bamboo, AWS Services, Cloud based databases, CI/CD, Pipeline Development, Cloud Platform Development, Cloud Based Application Development\n\nExperience Senior Engineer, being able to work independently, passionate about solving points of pain for developer community , scrum/agile methodologies\n\nStrong troubleshooting skills in cloud infrastructure, networking, security best practices, and performance optimization\n\nPreferred Qualifications /Certifications\nDatabricks Certified Platform Administrator, Data Engineer Associate, or Data Engineer Professional.\n\nAWS Solutions Architect Associate/Professional.\n\nExperience supporting AI/ML and GenAI platforms including ML flow, Model Serving, Feature Store, Vector Search, and Mosaic AI.\n\nExperience working in regulated or highly governed enterprise environments.\n\nLocation\nThis role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.\nOur mission\nVanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.\nOur commitment to you\nVanguard takes the same long-term view of your success-at work and in life-with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:\nFinancial wellness\nWe're committed to enabling your financial success and provide competitive offers and programs.\nPhysical wellness\nWe're committed to providing benefits that support your physical health and wellness.\nPersonal wellness\nWe're committed to providing resources that help support the full scope of your life.\nHow we work\nVanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.","description_format":"text","description_chars":7146,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-08-12T00:00:00Z"},{"event":"close","at":"2026-08-14T01:13:33Z"},{"event":"reopen","at":"2026-09-02T14:19:26Z"},{"event":"close","at":"2026-09-02T20:19:29Z"},{"event":"reopen","at":"2026-09-16T15:14:03Z"},{"event":"close","at":"2026-09-16T18:35:10Z"},{"event":"reopen","at":"2026-09-17T06:14:29Z"},{"event":"close","at":"2026-09-27T21:08:57Z"},{"event":"reopen","at":"2026-10-13T16:17:41Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.2,"p_room":0.28,"age_days":71,"expected_fill_days":27,"reasons":["conf:3","repost:3","stale_co","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/vanguard-databricks-platform-engineer-aws","json_url":"https://alion.io/job/vanguard-databricks-platform-engineer-aws.json","meta":{"generated_at":"2026-10-22T18:16:09Z","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":789,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":253},"rest":"https://alion.io/mcp/rest/get_company?id=253"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvanguard-databricks-platform-engineer-aws"},{"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%2Fvanguard-databricks-platform-engineer-aws"},{"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%2Fvanguard-databricks-platform-engineer-aws"},{"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/vanguard-databricks-platform-engineer-aws\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvanguard-databricks-platform-engineer-aws"}]}