{"id":2778816,"url":"https://alion.io/job/persistent-systems-data-architect","title":"Data Architect","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"Amazon S3","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Confluence","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Liquibase","optional":false},{"name":"OpenShift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-04T11:15:44Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T17:06:51Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"About Persistent\nWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.\nOur disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix? Assessment 2026 and Software Product Engineering PEAK Matrix? Assessment 2026.\nAbout Position:\nExperience Data Modernization migration of an on premises SQL data warehouse to a target state Data Lake on Google Cloud (GCP), enabling metrics reporting, advanced analytics, and GenAI use cases (natural language querying, accelerated summarization, cross domain trend analysis) leveraging PySpark based processing, cloud native DevOps CI/CD pipelines, and containerized deployments on OpenShift (OCP) to deliver scalable, secure, and high performance data solutions. 14+ years of overall IT experience, with strong experience in Data Architecture, Big Data Engineering, Cloud Data Platforms, ETL/ELT Frameworks, Data Lake Architecture, and Enterprise Data Modernization programs.\nRole: Data Architect\nLocation: Bengaluru\nExperience: 8 to 12 Years\nJob Type: Full Time Employment\nWhat You'll Do:\nOwn the end-to-end data architecture for the IAM Data Modernization program across OCP, S3, PostgreSQL metadata repository, and GCP / BigQuery future state architecture.\nDefine and guide implementation of a metadata-driven generic ETL framework supporting multiple source types including databases, files, APIs, MongoDB, Splunk, VDS, and Active Directory.\nArchitect reusable metadata models using MD_ static metadata tables and OPS_ operational/runtime tables for source configuration, pipeline definition, run tracking, audit logging, checkpointing, schema drift, and notifications.\nProvide architecture direction for MVC-based orchestration, including repository layer, service layer, wrapper, controller, execution plan models, and standardized request/response contracts.\nDesign scalable ingestion patterns for full load, incremental load, watermark-based processing, CDC-style patterns, batch ingestion, API ingestion, and file-based ingestion.\nGuide design of S3 data lake zones including Landing, Raw, Archive, and Error zones, with clear promotion, archival, replay, and error-handling patterns.\nDefine data quality, schema validation, schema drift detection, CLOB validation, checkpoint restartability, auditability, and operational resilience standards.\nProvide technical leadership for GCP / BigQuery architecture, including S3 to BigQuery integration, schema mapping, dataset design, partitioning, clustering, performance optimization, and secure connectivity.\nReview and guide CI/CD automation using GitHub Actions, JFrog, Harness, Liquibase, Helm, OCP deployments, and environment-specific configuration management.\nProvide technical guidance to team on Python, PySpark, SQL, BigQuery, PostgreSQL, data modeling, performance tuning, and production-ready framework design.\nSupport UAT and production readiness by defining validation scenarios, reconciliation strategy, performance testing approach, security validation, runbooks, and sign-off criteria.\nPartner with client stakeholders to finalize architecture decisions, design documents, Confluence documentation, implementation standards, and technical roadmaps.\nEnsure the solution is secure, scalable, maintainable, metadata-driven, auditable, and extensible for future Splunk and Grafana observability integrations.\nExpertise You'll Bring:\nBig Data Processing Hands on experience with PySpark for ETL/ELT, data transformation, and performance optimization Solid understanding of distributed data processing concepts Data Cloud Architecture Strong experience designing data platforms on Google Cloud Platform (GCP) Experience with Data Lakes, data warehousing, and large scale migration programs Data Lake Architecture Storage Proven experience designing and implementing data lake architectures (e.g., Bronze/Silver/Gold or layered models).\nStrong knowledge of Cloud Storage (GCS) design, including bucket layout, naming conventions, lifecycle polic\nEducational background relevant to the role and its technical domain.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment\nLet?s unleash your full potential at Persistent -persistent.com/careers\n?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?","description_format":"text","description_chars":6578,"description_truncated":false,"requirements":{"experience_years_min":14,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T10:44:57Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.503,"p_room":0.28,"age_days":74,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-17T18:43:22Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-data-architect","json_url":"https://alion.io/job/persistent-systems-data-architect.json","meta":{"generated_at":"2026-10-17T18:43:22Z","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":1621,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-data-architect"},{"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%2Fpersistent-systems-data-architect"},{"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%2Fpersistent-systems-data-architect"},{"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/persistent-systems-data-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-data-architect"}]}