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Technical Project Manager

6 - 11 years

5 - 15 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

Technical Project Manager / Technical Delivery Manager

Key Responsibilities

Project & Delivery Management

  • Lead the full project lifecycle for enterprise-scale data platformsincluding requirement gathering, development, testing, deployment, and post-production support.
  • Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP).
  • Prepare and maintain detailed project plans (Microsoft Project Plan), and align them with the Statement of Work (SOW) and client expectations.
  • Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines.
  • Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow.

Data Platform & Architecture Oversight

  • Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake).
  • Ensure data platform solutions meet performance, security, and governance standards.
  • Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements.

Client Engagement & Stakeholder Management

  • Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders.
  • Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews.
  • Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment.

Technical Leadership & Troubleshooting

  • Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, Azure Monitor.
  • Lead incident, problem, and change management processes with data platform operations in mind.
  • Identify automation opportunities and propose technical process improvements across data pipelines and workflows.

Governance, Documentation & Compliance

  • Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams.
  • Manage project compliance related to data privacy, security, and internal/external audits.
  • Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients.

Continuous Improvement & Innovation

  • Participate in and lead at least three internal process optimization or innovation initiatives annually.
  • Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows.
  • Monitor production environments to reduce deployment issues and improve time-to-insight.

Must-Have Qualifications

  • 10+ years

    of experience in technical project delivery, with

    strong focus on data analytics, BI, and cloud data platforms

    .
  • Strong hands-on experience with SQL

    and data warehouse technologies like

    Snowflake, Synapse, Redshift, BigQuery

    , etc.
  • Proven experience delivering

    Data Warehouse and Data Lakehouse

    solutions.
  • Familiarity with tools such as

    Redshift, Synapse, BigQuery, Databricks, Delta Lake

    .
  • Strong cloud knowledge with

    Azure, AWS, or GCP

    .
  • Proficiency in project management tools like

    Microsoft Project Plan (MPP)

    , JIRA, Confluence, and ServiceNow.
  • Expertise in Agile project methodologies.
  • Excellent communication skillsboth verbal and writtenwith no MTI or grammatical errors.
  • Hands-on experience working with global delivery models (onshore/offshore).

Preferred Qualifications

  • PMP or Scrum Master certification.
  • Understanding of ITIL processes and DataOps practices.
  • Experience managing end-to-end cloud data transformation projects.
  • Experience in project estimation, proposal writing, and RFP handling.

Desired Skills & Competencies

  • Deep understanding of

    SDLC, data architecture, and data governance

    principles.
  • Strong leadership, decision-making, and conflict-resolution abilities.
  • High attention to detail and accuracy in documentation and reporting.
  • Ability to handle multiple concurrent projects in a fast-paced, data-driven environment.
  • A passion for data-driven innovation and business impact.

Why Join Us?

  • Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
  • Work on impactful projects that make a difference across industries.
  • Opportunities for professional growth and continuous learning.
  • Competitive salary and benefits package.

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