{"id":3194586,"url":"https://alion.io/job/exl-technical-delivery-lead","title":"Technical Delivery Lead","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":260,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-24T06:51:04Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-26T02:42:48Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":122},"description":"Job Title: Technical Lead - Data Engineering & Data Platforms\nExperience\n12+ years of overall experience in Data Engineering, Data Platforms, Cloud Technologies, AI-enabled data solutions, and enterprise architecture.\n4+ years of experience in a Technical Leadership role, including team management, mentoring, delivery ownership, and stakeholder collaboration.\nRole Summary\nWe are looking for a highly experienced Technical Lead with strong expertise in Data Engineering, AI-enabled data solutions, cloud platforms, data modeling, and data cataloging. The role requires strong technical leadership, team management, and client engagement skills to support enterprise data transformation initiatives. The individual will work closely with clients, leadership, architects, and cross-functional teams to drive solution design, delivery excellence, technology governance, and engineering best practices.\nKey Responsibilities\nProvide technical leadership across Data Engineering, Cloud, AI, and enterprise data platform initiatives.\nLead, manage, mentor, and guide engineering teams to ensure high-quality delivery and continuous capability development.\nDrive effective client engagement by understanding business priorities, managing expectations, communicating technical solutions clearly, and ensuring timely resolution of concerns.\nCollaborate with cross-functional teams including business stakeholders, architects, product owners, engineering teams, governance teams, and delivery leadership.\nDesign and review scalable, secure, and cost-effective data architectures, data models, lakehouse platforms, and cloud-based data solutions.\nSupport data cataloging, metadata management, data governance, data quality, and compliance practices across enterprise data platforms.\nEvaluate and implement AI/ML-enabled features, automation opportunities, and intelligent data engineering practices to improve platform efficiency and business outcomes.\nDrive best practices in Data Engineering, Cloud, Data Architecture, DevOps, CI/CD, performance optimization, and engineering excellence.\nParticipate in technical assessments, solution reviews, interviews, and capability-building initiatives for Data Engineering roles.\nRequired Skills\nStrong hands-on expertise in Databricks and Snowflake.\nStrong experience with AWS, Azure, or GCP cloud platforms.\nStrong knowledge of Spark, PySpark, Python, SQL, and large-scale data processing frameworks.\nExperience in data modeling, data cataloging, metadata management, data governance, and enterprise data management practices.\nExperience building Data Lakes, Data Warehouses, Lakehouse platforms, ETL/ELT pipelines, and orchestration workflows.\nUnderstanding of AI/ML concepts, GenAI-enabled data solutions, automation use cases, and AI-driven engineering practices.\nStrong team management, stakeholder management, client engagement, communication, and problem-solving skills.\nPreferred Skills\nExperience in Banking and Capital Markets, or Financial Services domain.\nExposure to data security, regulatory compliance, risk controls, and enterprise governance frameworks.\nExperience supporting hiring, technical evaluations, competency development, and engineering capability improvement initiatives.\nKey Attributes\nStrong technical depth across modern data, cloud, AI, and enterprise architecture ecosystems.\nProven leadership experience in managing teams, driving delivery excellence, and building high-performing engineering capabilities.\nExcellent client-facing communication skills with the ability to manage expectations professionally and build trusted relationships.\nAbility to work effectively with cross-functional teams and influence stakeholders across technical and business groups.\nStrategic thinker with a hands-on technical mindset and strong ownership of outcomes.\n Key Responsibilities\nProvide technical leadership across Data Engineering, Cloud, AI, and enterprise data platform initiatives.\nLead, manage, mentor, and guide engineering teams to ensure high-quality delivery and continuous capability development.\nDrive effective client engagement by understanding business priorities, managing expectations, communicating technical solutions clearly, and ensuring timely resolution of concerns.\nCollaborate with cross-functional teams including business stakeholders, architects, product owners, engineering teams, governance teams, and delivery leadership.\nDesign and review scalable, secure, and cost-effective data architectures, data models, lakehouse platforms, and cloud-based data solutions.\nSupport data cataloging, metadata management, data governance, data quality, and compliance practices across enterprise data platforms.\nEvaluate and implement AI/ML-enabled features, automation opportunities, and intelligent data engineering practices to improve platform efficiency and business outcomes.\nDrive best practices in Data Engineering, Cloud, Data Architecture, DevOps, CI/CD, performance optimization, and engineering excellence.\nParticipate in technical assessments, solution reviews, interviews, and capability-building initiatives for Data Engineering roles.\n Experience\n12+ years of overall experience in Data Engineering, Data Platforms, Cloud Technologies, AI-enabled data solutions, and enterprise architecture.\n4+ years of experience in a Technical Leadership role, including team management, mentoring, delivery ownership, and stakeholder 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