{"id":3273154,"url":"https://alion.io/job/mu-sigma-lead-data-engineer","title":"Lead Data Engineer","company":{"id":8306,"name":"Mu Sigma","domain":"mu-sigma.com","url":"https://alion.io/company/mu-sigma","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-26T12:35:56Z","employer_posted_date":null,"last_verified_at":"2026-10-28T18:35:45Z","board_verified":false,"closed_at":"2026-10-28T18:35:45Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"The core responsibilities for the job include the following:\n\nData Platform Leadership: \nLead the development and continuous improvement of data pipelines and integration frameworks.\nDefine standards for ingestion, orchestration, and data movement across the platform.\nImprove reliability, performance, and cost efficiency of data pipelines and storage.\nDesign scalable, reusable patterns that support consistent data flow across systems.\n\nData Integration and Architecture: \nDesign and implement integrations across internal and external systems using tools such as Fivetran and custom pipelines.\nOwn how data enters and moves through the warehouse, ensuring consistency and integrity.\nStructure data layers to support both upstream flexibility and downstream consumption.\nEnsure strong alignment between source system logic and warehouse representations.\n\nData Modeling and Foundation: \nArchitect and implement core data models in Snowflake using dbt.\nBuild durable data layers aligned to core revenue and operational domains.\nEnsure strong alignment between upstream data structures and downstream reporting needs.\nEmbed testing, documentation, and performance optimization into standard engineering practice.\n\nData Reliability and Quality: \nEstablish and enforce data quality standards across ingestion and transformation layers.\nDesign systems for validation, monitoring, and lineage.\nProactively identify and resolve data issues, reducing ambiguity and downstream impact.\nStrengthen trust in enterprise data through consistent and reliable delivery.\n\nAI-Enabled Data Systems: \nTreat AI as a core capability in modern data engineering, leveraging it to deliver high-quality solutions with greater speed and rigor.\nDesign data pipelines and structures that enable safe and effective use of AI with trusted data.\nIntegrate AI into engineering workflows to accelerate development, monitoring, and optimization.\nApply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency.\nEstablish practical guardrails for responsible AI usage across both engineering and business consumption.\n\nCross-Functional Partnership: \nTranslate complex and ambiguous business questions into scalable data solutions.\nCommunicate technical trade-offs clearly to both technical and business stakeholders.\nIntroduce platform and process improvements and drive them through implementation.\nInfluence data standards across the Data and Analytics function.\n\nRequirements: \n6+ years of experience in data engineering or analytics engineering.\nStrong experience with data integration, pipeline development, and warehouse architecture.\nStrong hands-on experience with Snowflake and dbt.\nExperience with data integration tools such as Fivetran.\nExperience working with cloud platforms such as AWS.\nAdvanced SQL with demonstrated performance tuning expertise.\nExperience with Git-based workflows and GitHub for version control.\nExperience building and operating reliable data pipelines.\nSkills\nanalytics engineering, data engineering, dbt, snowflake","description_format":"text","description_chars":3078,"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":["IT Consulting & Digital Transformation","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-26T12:35:56Z"},{"event":"close","at":"2026-10-28T18:35:45Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/mu-sigma-lead-data-engineer","json_url":"https://alion.io/job/mu-sigma-lead-data-engineer.json","meta":{"generated_at":"2026-10-29T00:58:35Z","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 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