{"id":940135,"url":"https://alion.io/job/smartsheet-staff-engineer-databricks","title":"Staff Engineer - Databricks","company":{"id":1678,"name":"Smartsheet","domain":"smartsheet.com","url":"https://alion.io/company/smartsheet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":20,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, 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":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Smartsheet","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-15T15:43:42Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-14T16:21:11Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.\nYou Will:\nData Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems\nData Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies\nData Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources\nPerformance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing\nTechnology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure\nTroubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform\nData Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data\nPerform other duties as assigned\nYou Have:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n10+ years of experience in data engineering or a similar role.\nEnterprise SaaS software solutions with high availability and scalability\nSolution handling large scale structured and unstructured data from varied data sources\nExperience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security\nWorking with Product engineering team to influence designs with data, AI and analytics use cases in mind\nIn depth experience in System design involving large Petabytes of data with Databricks Lakehouse\nExperience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context) \nAWS, GCP, Snowflake and Data pipeline frameworks like Airbyte/Airflow\nProgramming languages like Python, SQL, and potentially Java or Scala\nModern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting\nSolution Cost Optimisations and design to cost\nDriving engineering excellence initiative\nLegally eligible to work in India on an ongoing basis\nFluency in English is required\nGet to Know Us:\nAt Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths-because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.\nEqual Opportunity Employer:\nSmartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. 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