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Job Type

Full Time

Job Description

Role Overview


Platform Leader – Data Platform Support


Key Responsibilities

Service Delivery & Operations

  • Lead support and delivery of enterprise-scale data platforms across cloud and on-prem environments.
  • Drive incident triage, root cause analysis, and permanent fixes in alignment with ITIL practices.
  • Manage escalations, lead war rooms, and ensure clear stakeholder communication.
  • Oversee knowledge transfers, on-call rotations, and shift transitions for data support teams.

Pre-Sales & Business Enablement

  • Partner with pre-sales and solutioning teams to demonstrate platform service capabilities.
  • Support customer presentations, workshops, RFPs, and SOWs.
  • Collaborate with business managers and marketing teams to create sales collateral and communication packages.
  • Ensure timely and high-quality solution delivery with zero escalation from bid management teams.

Technology Leadership

  • Provide end-to-end architectural insights across platform services and infrastructure.
  • Drive automation of routine tasks, workflows, and cost optimization in cloud environments.
  • Implement robust data governance, protection, and compliance measures (GDPR, HIPAA, SOC 2).
  • Continuously evaluate emerging tools, platforms, and practices for adoption.

Collaboration & Growth

  • Partner with Sales, BDG, and Marketing teams to execute digital and sales campaigns.
  • Contribute to business acquisition efforts by actively supporting NN/EN service opportunities.
  • Foster a collaborative, accountable, and high-performance team environment.
  • Engage in continuous learning to strengthen both technical depth and leadership capabilities.


Required Technical Skills


Data Platform & Infrastructure

  • Azure Synapse, Snowflake, Google BigQuery, AWS Redshift
  • Data lakes, warehouses, marts, and lakehouses
  • On-prem to cloud migration strategies

Database Technologies

  • SQL, PL/SQL, Oracle, SQL Server, MySQL, MongoDB, Cassandra
  • Columnar stores (e.g., Redshift, Vertica)

Data Engineering Tools

  • ETL/ELT (Apache NiFi, Informatica, Talend, Azure Data Factory)
  • Scripting/orchestration (Python, Shell, PowerShell)
  • Workflow orchestration (Apache Airflow, Luigi)

Cloud & DevOps

  • Azure, AWS, or GCP
  • Terraform, CloudFormation, Ansible (IaC)
  • CI/CD pipelines (GitLab, Azure DevOps, Jenkins)
  • Monitoring (Grafana, Prometheus, Datadog)

Data Security & Governance

  • RBAC, IAM, data masking, auditing
  • Apache Ranger, Azure Purview, Collibra

Incident & Problem Management

  • ITIL practices, ServiceNow, JIRA
  • War room leadership, stakeholder communication

Automation & Optimization

  • Workflow automation
  • Performance tuning (queries, jobs, infra)
  • Cloud cost optimization


Education & Experience

  • Graduate in Computer Science, Information Technology, or equivalent.
  • 12+ years of IT experience with at least 5 years in a

    platform leadership or data operations role

    .
  • Proven track record of leading cross-functional teams and supporting pre-sales/business acquisition.

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