{"id":1229958,"url":"https://alion.io/job/infobeans-technologies-senior-data-architect","title":"Senior Data Architect","company":{"id":59407,"name":"InfoBeans Technologies","domain":"infobeans.ai","url":"https://alion.io/company/infobeans-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":89000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":404},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T12:09:52Z","employer_posted_date":null,"last_verified_at":"2026-09-21T12:09:52Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Role : Senior Data Architect.\n\nLocation : Bangalore.\n\nExperience : 7 - 10 years.\n\nKey Skills : PySpark, Spark, Oracle AI Data Platform (AIDP), OCI, Data Engineering, Delta Lake, Python, SQL, Generative AI, Data Governance.\n\nJob Description : \n\nWe are seeking a Senior Data Architect to lead the design, modernization, and delivery of enterprise-scale AI and data-transformation programs. In this strategic, customer-facing role, you will partner directly with executive leaders and product teams to architect modern Lakehouse and AI/ML-driven data solutions on Oracle Cloud Infrastructure and Oracle AI Data Platform, combining hands-on data engineering with technical architecture and advisory.\n\nWhat will your role look like : \n\n- Lead the architecture, delivery, and modernization of enterprise Oracle AI Data Platform transformations and migrations.\n\n- Design and build AI-ready, governed data architectures including Lakehouse, Medallion, and real-time streaming solutions.\n\n- Develop AI/ML and Generative AI data pipelines, MLOps workflows, vector-ready datasets, APIs, and automation frameworks.\n\n- Refactor and optimize PySpark and ETL workloads for performance, cluster sizing, partitioning, and memory management at scale.\n\n- Serve as a trusted advisor to C-level executives, mentor senior engineers globally, and collaborate with product teams to shape platform roadmaps.\n\nWhy you will love this role : \n\n- Opportunity to lead high-impact AI and data-transformation initiatives for major enterprise customers globally.\n\n- Collaborative and innovative environment working directly with Oracle product managers, architects, and engineering leaders.\n\n- Culture that encourages technical thought leadership, global mentoring, and defining reusable engineering standards.\n\n- Direct involvement with cutting-edge technologies including Generative AI, LLMs, RAG architectures, and autonomous agents.\n\nWe would like you to bring along : \n\n- 7 - 10 years of experience designing, architecting, and delivering enterprise-scale data platforms.\n\n- Expert hands-on proficiency in Apache Spark, PySpark, Delta Lake, Python, SQL, and modern cloud data platforms.\n\n- Deep expertise in Spark distributed systems architecture, tuning, performance engineering, and ETL modernization.\n\n- Solid understanding of networking concepts, DataOps, CI/CD, Infrastructure as Code, data governance, and security.\n\n- Outstanding executive communication, stakeholder management, and customer-facing technical advisory skills.\nSkills\nData Architect, Data Engineering, DataLake, Python, SQL, Data Governance, Spark, ETL","description_format":"text","description_chars":2596,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.8,"p_room":1,"age_days":4,"expected_fill_days":31,"reasons":["seen:4","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infobeans-technologies-senior-data-architect","json_url":"https://alion.io/job/infobeans-technologies-senior-data-architect.json","meta":{"generated_at":"2026-09-27T01:32:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1415,"day_limit":5000,"remaining_today":3585,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}