{"id":2845100,"url":"https://alion.io/job/merck-co-specialist-databricks-platform-engineer","title":"Specialist, Databricks Platform Engineer","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":272,"ghost_share":0.015,"stale_share":0.07,"repost_share":0.085,"time_to_fill_p50_days":12,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-19T10:41:44Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T04:44:49Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description\nThe Opportunity\nJoin a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.\nOur Technology Canters are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.\nThis role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days onsite, 2 days remote). Candidates are expected to reside within commuting distance of the Hyderabad office.\nRole Overview\nWe are seeking a hands-on Databricks Platform Engineer to support the administration, operation, monitoring, and continuous improvement of our enterprise Databricks platform.\nThe ideal candidate will have experience with Databricks administration, data engineering concepts, platform observability, and technical troubleshooting. This individual will work closely with platform teams, Data Engineers, Data Scientists, and other technical users to maintain a reliable platform and help diagnose issues related to jobs, pipelines, compute, access, performance, and user environments.\nThe role is well suited for someone who enjoys solving technical problems, working directly with users, learning new technologies, and experimenting with new Databricks capabilities.\nWhat will you do in this role\nDatabricks Administration & Platform Operations\nSupport day-to-day administration and operation of Databricks environments.\nManage workspaces, compute resources, clusters, SQL Warehouses, jobs/workflows, libraries, and workspace configurations.\nSupport user provisioning, permissions, access controls, service principals, and Unity Catalog.\nMonitor platform health, workload performance, utilization, and operational issues.\nInvestigate platform and workload failures using logs, job history, compute metrics, and other diagnostic information.\nHelp identify whether issues originate from compute, configuration, permissions, data, application code, or other dependencies.\nAssist with platform upgrades, configuration changes, and operational improvements.\nMaintain platform documentation, troubleshooting guides, and operational procedures.\nData Engineering & Workload Support\nSupport data engineering workloads running on Databricks using Spark, PySpark, Python, SQL, Delta Lake, and Databricks Jobs/Workflows.\nAssist teams in troubleshooting failed or poorly performing data pipelines.\nReview job failures, logs, Spark execution behavior, compute utilization, data issues, and dependencies to help identify root causes.\nWork with Data Engineers to troubleshoot ingestion, transformation, scheduling, and processing issues.\nAssist with identifying performance bottlenecks and opportunities to improve workload reliability and efficiency.\nUnderstand basic Data Lake and Lakehouse architecture concepts and how they relate to Databricks workloads.\nPlatform Observability & Reliability\nMonitor the health and reliability of Databricks workloads and platform services.\nHelp develop and maintain monitoring and dashboards for:Job and pipeline failures\nCompute utilization\nWorkload performance\nPlatform health\nCapacity and usage\nCost and consumption\n\nAssist in configuring alerts and identifying recurring failure patterns.\nParticipate in troubleshooting incidents and root-cause analysis.\nHelp translate recurring incidents into opportunities for automation and platform improvements.\nWork with enterprise monitoring solutions such as CloudWatch, Splunk, Datadog, Grafana, or similar technologies.\nUser Support & Troubleshooting\nWork directly with Data Engineers, Data Scientists, analysts, and other Databricks users to understand and troubleshoot technical issues.\nSupport problems involving notebooks, jobs, libraries, compute, permissions, data access, Python/SQL environments, and Spark workloads.\nGuide users through appropriate troubleshooting steps and escalate complex platform issues when needed.\nDocument common issues and develop reusable knowledge articles and troubleshooting guides.\nCommunicate technical issues clearly to both platform teams and end users.\nProvide a positive and collaborative support experience rather than simply routing support tickets.\nData Science & AI Enablement\nSupport Databricks environments used by Data Science and analytics teams.\nUnderstand common Data Science workflows involving Python, SQL, notebooks, Spark, MLflow, and machine learning libraries.\nAssist Data Scientists with environment, library, compute, permissions, and data access issues.\nSupport the configuration and operation of compute environments used for Data Science and ML workloads.\nDevelop working knowledge of emerging AI/ML capabilities available within the Databricks ecosystem.\nTechnology Exploration & Continuous Improvement\nStay informed about new Databricks features, runtimes, administrative capabilities, and platform improvements.\nExperiment with relevant new capabilities in development or test environments.\nParticipate in small proofs-of-concept to understand how new features could improve reliability, observability, cost, security, or user experience.\nShare findings with the broader platform team.\nIdentify opportunities to automate repetitive platform administration and support activities.\nContinuously improve technical skills across Databricks, cloud, Data Engineering, and Data Science technologies.\nWhat should you have\nBachelor’s or master’s degree in computer science, Engineering, Data Science, or related field.\n3-5 years of experience in Data Engineering, Data Platform Administration, or Cloud Data Platforms.\nExperience with Unity Catalog, Delta Lake, Databricks Jobs/Workflows, and SQL Warehouses.\n1-2 years of hands-on Databricks administration experience.\nExperience working with Databricks or similar cloud-based data platforms.\nUnderstanding of Databricks administration and platform operations.\nWorking knowledge of Python and SQL.\nFamiliarity with Apache Spark / PySpark and distributed data-processing concepts.\nUnderstanding of Data Engineering and ETL/ELT concepts.\nExperience troubleshooting technical issues using logs, monitoring information, and application/platform diagnostics.\nFamiliarity with cloud environments, preferably AWS.\nUnderstanding of access management, security, and data governance concepts.\nAbility to communicate effectively with technical users and work collaboratively to investigate issues.\nFamiliarity with Git, CI/CD, GitHub Actions, or similar DevOps practices.\nExposure to Infrastructure as Code technologies such as Terraform.\nExposure to Data Science or AI/ML workloads.\nStrong problem-solving skills and willingness to learn new technologies.\nSecondary skills (nice to have)\nDatabricks certification or related training.\nExperience with monitoring and observability tools such as CloudWatch, Splunk, Datadog, or Grafana.\nFamiliarity with MLflow, machine learning workflows, or MLOps concepts.\nExperience supporting enterprise data platforms or scientific computing environments\nWho we are\nWe are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.\nWhat we look for\nImagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us-and start making your impact today.\nAdditional location(s) Compensation Information:\nRequired Skills:\nAmazon Web Services (AWS), Databricks Administration, Databricks Platform, Python (Programming Language), Structured Query Language (SQL)Preferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nSecondary Language(s) Job Description:\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nDomesticVISA Sponsorship:\nNoTravel Requirements:\nNo Travel RequiredFlexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nn/aJob Posting End Date:\n10/26/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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