{"id":775036,"url":"https://alion.io/job/sigmoid-technical-lead-databricks-champion","title":"Technical Lead – Databricks Champion","company":{"id":1528,"name":"Sigmoid","domain":"sigmoid.com","url":"https://alion.io/company/sigmoid","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":36,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-29T05:49:05Z"}},"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":31000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"WhatsApp","optional":false}],"status":"live","first_seen_at":"2026-07-28T11:13:09Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-29T17:12:25Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":92},"description":"Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.\nRecognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.\nTechnical Lead - Data Engineering\nAs a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.\nThis position reports to Engineering Manager.\nResponsibilities: \nAlign Sigmoid with key Client initiativesInterface daily with customers across leading Fortune 500 companies to understand strategic requirements\nConnect with VP and Director level clients on a regular basis.\nTravel to client locations\nAbility to understand business requirements and tie them to technology solutions\n\nFacilitate in Technical AspectsDesign, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.\nExcellent experience in Application development and support, integration development and data management.\n\nProvide technical leadership and manage it day to day basisGuiding developers in day to day design and coding tasks\nPlay a key role in hiring technical talents to build the future of Sigmoid.\n\nStay up-to-date on the latest technology to ensure the greatest ROI for customer & SigmoidHands on coder with good understanding on enterprise level code\nDesign and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems\nExperience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment\n\nCultureMust be a strategic thinker with the ability to think unconventional / out:of:box.\nAnalytical and data driven orientation.\nRaw intellect, talent and energy are critical.\nEntrepreneurial and Agile : understands the demands of a private, high growth company.\nAbility to be both a leader and hands on \"doer\". \n\nQualifications: -\n8+ years of track record of relevant work experience and a computer Science or a related technical discipline is required\nExperience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff\nProven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred\nExperience working with large, complex data sets from a variety of sources\nExperience with Hadoop, Spark, or similar stack a must\nExperience with functional and object-oriented programming, Python or Scala a must\nEffective communication skills (both written and verbal)\nAbility to collaborate with a diverse set of engineers, data scientists and product managers\nTechnical knowledge in Spark, Hadoop & GCS Stack.\nComfort in a fast-paced start-up environment \nPreferred Qualification:\nExperience in agile methodology\nDevelopment and support experience in Big Data domain\nArchitecting, developing, implementing and maintaining Big Data solutions\nExperience with database modeling and development, data mining and warehousing.\nExperience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)\nNote:\nBy submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career 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