{"id":588607,"url":"https://alion.io/job/dexcare-sr-manager-data-engineering","title":"Sr. Manager - Data Engineering","company":{"id":421,"name":"DexCare","domain":"dexcare.com","url":"https://alion.io/company/dexcare","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":21000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"HIPAA","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"NLP","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-09-10T09:07:11Z","employer_posted_date":null,"last_verified_at":"2026-09-10T09:07:11Z","board_verified":false,"closed_at":null,"days_open":54,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":54},"description":"As the Sr. Manager of Data Engineering, you will lead a team of data engineers in building scalable, secure, and high-performance data pipelines and infrastructure. You'll partner cross-functionally with product, engineering, and business stakeholders to define and execute a data engineering roadmap that supports DexCare's internal analytics and external product capabilities. This role blends strategic leadership with hands-on technical execution in a highly regulated healthcare environment.\nResponsibilities:\nBuild, mentor, and manage a high-performing team of data engineers.\nDefine and execute the data engineering roadmap aligned with DexCare's strategic goals.\nArchitect and oversee scalable data pipelines for structured, semi-structured, and unstructured data.\nCollaborate with product and engineering teams to deliver cross-functional data solutions.\nOwn the end-to-end lifecycle of data ingestion, transformation, storage, and delivery.\nEnsure data quality, governance, and compliance with HIPAA and HITRUST standards.\nManage relationships with third-party data vendors and integration partners.\nDrive adoption of modern data engineering practices including CI/CD, Infrastructure as Code, and observability.\nCommunicate effectively across technical and non-technical audiences, including executives.\nRequirements:\nBachelor's degree in Computer Science, Engineering, or related field.\n7+ years of experience in data engineering, with 2+ years in a leadership role.\nProven experience designing and managing large-scale data pipelines and lakehouse architectures.\nExpertise in Spark, Flink, dbt, and orchestration tools like Airflow or Prefect.\nStrong proficiency in Python, Scala, SQL, and NoSQL databases.\nExperience with cloud platforms (AWS/GCP), Databricks, and data warehouses (Snowflake, BigQuery, Redshift).\nFamiliarity with visualisation tools (Tableau, Power BI, D3).\nExperience with CI/CD pipelines, version control (Git), and production-grade software systems.\nStrong architectural skills and ability to resolve performance bottlenecks.\nExcellent leadership, communication, and stakeholder management skills.\nPreferred Qualifications:\nExperience managing real-time data pipelines with low-latency SLAs.\nHands-on experience with Databricks and ML model deployment in cloud environments.\nExposure to deep learning, reinforcement 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