{"id":155978,"url":"https://alion.io/job/databricks-director-of-engineering","title":"Director of Engineering","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":856,"ghost_share":0.271,"stale_share":0,"repost_share":0.002,"time_to_fill_p50_days":76,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","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":69000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false}],"status":"live","first_seen_at":"2025-08-14T15:06:35Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-28T04:05:07Z","board_verified":true,"closed_at":null,"days_open":439,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":439},"description":"(P-1384)\nAbout the Team\nAt Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer-obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\nIn this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.\nThe impact you will have:\nSolve real business needs at a large scale by applying your software engineering\nEnsure consistent delivery against milestones and strong alignment with the field working \"two-in-a-box\" with product leadership\nEvolve organizational structure to align with long term initiatives, build strong \"5 ingredient\" teams with good comms architecture\nManage technical debt, including long term technical architecture decisions and balance product roadmap\nLeading and participating in technical, product, and design discussions \nBuilding, managing, and operating a highly scalable services in the cloud\nGrowing leaders on the team by providing coaching, mentorship, and growth opportunities\nPartnering with other engineering and product leaders on planning, prioritization and staffing\nCreating a culture of excellence on the team while leading with empathy\nWhat we look for:\n15+ years of industry experience building and supporting large-scale distributed systems\nBuilding, growing, and managing high-performance teams\nAbility to attract and hire engineers who meet the Databricks hiring principles\nExisting experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).\nExperience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.\nBS in Computer Science or Masters or PhD \nAbout Databricks\nDatabricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.\nBenefits\n At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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