{"id":2885199,"url":"https://alion.io/job/quantiphi-tech-architect-data-2","title":"Tech Architect - Data","company":{"id":6155,"name":"Quantiphi","domain":"quantiphi.com","url":"https://alion.io/company/quantiphi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":70,"open_postings":66,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-21T05:46:15Z"}},"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":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Informatica","optional":true},{"name":"Scrum","optional":true},{"name":"SSIS","optional":true}],"status":"live","first_seen_at":"2026-06-10T00:00:00Z","employer_posted_date":"2026-06-10","last_verified_at":"2026-10-21T14:27:39Z","board_verified":true,"closed_at":null,"days_open":133,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":133},"description":"While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.\nIf working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!\nRole: Technical Architect- Data\nExperience: 8-10+ Years\nWork Location: Bangalore / Mumbai\nTimings: 11AM - 7PM IST\nKey Responsibilities\nDesign, develop, and maintain scalable data engineering and analytics solutions for enterprise data platforms.\nBuild and optimize ETL/ELT pipelines for ingestion, transformation, and processing of large-scale structured and unstructured data.\nDevelop conceptual, logical, and physical data models including metadata, lineage, and technical definitions.\nArchitect and implement data warehouse and data lake solutions.\nDefine architecture standards, blueprints, accelerators, and interoperability patterns.\nWork closely with Product Owners, Business Analysts, Data Architects, Data Scientists, and BI teams to translate business requirements into technical solutions.\nDesign and implement dimensional models, fact tables, and data transformation/cleansing processes.\nDevelop scalable and high-performance data processing pipelines for enterprise reporting and analytics.\nEnsure data governance, data quality, security, privacy, and lifecycle management standards are implemented.\nProvide production support for ETL processes and ensure data availability and integrity.\nCreate technical documentation, data flow diagrams, and architecture artifacts.\nConduct solution reviews and ensure compliance with enterprise architecture standards.\nMentor and guide data engineers and technical teams across multiple locations.\nSupport evaluation and implementation of emerging technologies and lead proof-of-concept initiatives.\nRequired Skills & Experience:\nData Engineering & Database Skills\nStrong experience in Data Warehousing, Data Engineering, and Data Integration projects.\nExpertise in ETL/ELT frameworks, OLAP systems, Data Lakes, and enterprise data platforms.\nStrong SQL programming and query optimization skills.\nExperience with:\nOracle PL/SQL\nMS SQL Server\nPostgreSQL\nMySQL\nStrong understanding of database design, data modeling, and architecture principles.\nCloud & Big Data Technologies\nHands-on experience with:\nGoogle Cloud Platform (GCP)\nBigQuery\nCloud SQL\nComposer (Airflow)\nDataflow\nDataproc\nCloud Functions\nGoogle Cloud Storage (GCS)\nExperience with Azure technologies including:\nAzure Data Factory (ADF)\nAzure Data Lake Storage (ADLS)\nDatabricks\nKnowledge of AWS cloud services is a plus.\nIntegration & Data Tools\nExperience with Informatica and PowerExchange integrations.\nExperience integrating data from Mainframe, Salesforce, ERP, CRM, HRIS, and other enterprise systems.\nStrong knowledge of APIs, XML, JSON, and modern data integration techniques.\n\nGood to have:\nSQL Server Reporting Services (SSRS)\nSQL Server Integration Services (SSIS)\nDremio\nArchitecture & Governance\nExperience defining enterprise data architecture and reference frameworks.\nKnowledge of data governance, metadata management, master/reference data, and data quality practices.\nExperience implementing security controls and privacy standards for sensitive data.\nAbility to perform sizing, estimation, and costing for data solutions.\nSoft Skills\nStrong analytical and problem-solving abilities.\nExcellent communication and stakeholder management skills.\nExperience working in Agile and Scrum environments.\nAbility to lead distributed teams and mentor engineers across locations.\nStrong organizational and multitasking capabilities.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with 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