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Data Platforms Technical Support Manager

Job in 560001, Vasanthanagar, Karnataka, India
Listing for: Waters Corporation
Full Time position
Listed on 2026-09-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Administrator, Data Engineering
Job Description & How to Apply Below
Location: Vasanthanagar

Waters is seeking a highly skilled  Data Platforms Technical Support Manager  to lead our Tier 1 global support operations and govern our enterprise Databricks platform. This role combines  team leadership ,  operational excellence , and  deep technical ownership  of SAP Datasphere, Microsoft Azure Databricks Administration, Unity Catalog governance, , and Power BI.
The ideal candidate has  10+ years  of total experience with  5+ years  in leadership or management roles, plus  strong hands-on Datasphere & Databricks administration  (clusters, governance, compute, Terraform, Unity Catalog). You will ensure uptime, performance, and secure operations across our Data & Analytics ecosystem while mentoring a global team supporting a 24/7 environment.
Team Leadership & Management
Lead, coach, and mentor a global team of L2 Technical Support Engineers.
Manage 24/7 operations including shift schedules, staffing, and on-call rotations.
Implement and enforce SOPs for incident management, escalations, and troubleshooting.
Track KPIs/SLA compliance while driving continuous service improvement.
Act as the highest-tier escalation point for business‑critical issues.
Datasphere & Databricks Platform Administration (Senior-Level Ownership)
Administer and maintain Datasphere & Databricks work spaces across development, staging, and production.
Manage clusters, jobs, permissions, workspace configurations, and compute governance.
Partner with engineering, analytics, and data science teams to ensure stable and scalable compute.
Troubleshoot complex Databricks issues across jobs, clusters, permissions, networks, and UC.
Unity Catalog Governance & Security
Design, implement, and maintain enterprise-wide  Unity Catalog  governance structures.
Manage fine-grained access for catalogs, schemas, tables, volumes, functions, and views.
Enforce least-privilege access models using groups, service principals, and RBAC.
Support permission audits, access reviews, classification standards, and compliance workflows.
Maintain clear governance around ownership, lineage, and auditability.
Terraform & Infrastructure as Code (IaC)
Use Terraform to deploy and manage Databricks infrastructure and configurations.
Manage cluster policies, compute controls, Unity Catalog objects, and security bindings via IaC.
Ensure Terraform modules follow best practices (modularity, versioning, state management).
Collaborate with Dev Ops teams to integrate Terraform into CI/CD pipelines.
Compute Policies & Cost Governance
Design and enforce Databricks compute policies for security, cost control, and standardization.
Monitor workloads, optimize performance, and reduce unnecessary cluster spend.
Drive platform-wide consistency in cluster configurations and compute governance.
Technical Expertise Across the Data Platforms Stack
Provide advanced incident triage and resolution for Azure, SAP, Databricks, and Power BI.
Support Microsoft Azure components (ADF, Storage, Networking, Monitoring).
Troubleshoot SAP S/4

HANA/BDC and SAP  Datasphere  performance or integration issues.
Support Power BI issues such as dataset refresh failures, gateway configuration, and performance tuning.
Work with engineering teams to conduct root cause analysis and implement permanent fixes.
Recruitment & Talent Development
Recruit high-performing engineers with Data Platforms, Databricks, and cloud expertise.
Define onboarding roadmaps, skill matrices, and continuous learning strategies.
Identify competency gaps and drive certification and upskilling programs.
10+ years  of experience in technical support, cloud operations, or data platform management.
5+ years  in a leadership or management role overseeing technical teams.
5+ years’ experience administering Databricks  in enterprise production environments.
Stro…
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