{"id":1111161,"url":"https://alion.io/job/brillio-lead-data-engineer-r01571409","title":"Lead Data Engineer - R01571409","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"1001-5000","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":328},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-22T09:39:57Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-23T22:21:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Lead Data Engineer\nJob requirements\nExperience Range: 8- 10 years of experience in data engineering, with hands-on expertise in Snowflake, dbt, and AWS cloud services Key Responsibilities:\nDevelop, maintain, and optimize dbt models, macros, and tests to support scalable ETL/ELT data pipelines\nAdminister and manage Snowflake data warehouses, including databases, schemas, roles, and security configurations to ensure robust data governance\nOptimize complex SQL queries and warehouse performance, reducing processing times and improving storage utilization\nManage and integrate AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch to build and maintain reliable cloud data infrastructure\nImplement and maintain CI/CD pipelines for automated deployment and release management of data solutions\nConfigure and monitor data quality checks, alerting systems, and performance monitoring to ensure high data reliability and integrity\nTroubleshoot and resolve production issues, conducting thorough root cause analysis to minimize downtime and prevent recurrence\nCollaborate closely with analytics, business intelligence, and engineering teams to deliver high-impact, scalable data solutions aligned with business objectives\nMedallion modeling: Design, build, and maintain dbt models across Bronze → Silver → Gold layers for the assigned domain.\nGovernance alignment: Partner with the Data Governance team so models meet certification and quality-gate standards before promotion.\nDownstream support: Support data modeling for downstream analytics platform consumers (dashboards and data products)\nTroubleshooting & support: Diagnose and resolve pipeline issues; participate in on-call/support rotation as needed.\nDocumentation: Document data lineage, model logic, and key technical decisions so the work is maintainable by the internal team.\nMaintain and Develop APIs\nRequired Skills:\nAdvanced proficiency in SQL (basic and advanced)\nExpertise in developing and managing dbt models, macros, and tests\nHands-on experience with Snowflake data warehousing, including Time Travel and Fail Safe features\nStrong understanding of ETL/ELT fundamentals and best practices\nProficiency in Python for data engineering and automation tasks\nAdministration of Snowflake warehouses, databases, schemas, and role-based security\nManagement of AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch\nImplementation and maintenance of CI/CD pipelines for data deployments\nConfiguration of monitoring, alerting, and data quality checks in cloud data platforms\nPreferred Skills:\nExperience with modern data platform fundamentals and architecture\nExpertise in optimizing large-scale data pipelines for performance and cost efficiency\nFamiliarity with data governance and compliance best practices in cloud environments\nKnowledge of infrastructure-as-code tools for cloud resource management\nExposure to advanced Snowflake features such as data sharing and secure data exchange\nDesired Qualifications:\nBachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field\nRelevant industry certifications in AWS, Snowflake, or dbt are highly desirable","description_format":"text","description_chars":3185,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-22T12:06:09Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brillio-lead-data-engineer-r01571409","json_url":"https://alion.io/job/brillio-lead-data-engineer-r01571409.json","meta":{"generated_at":"2026-09-24T00:47:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}