Data Manager

Peoplefy; Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Peoplefy in Pune seeks an experienced Data Services Manager to lead a team responsible for building, supporting, and enhancing enterprise data solutions. The role combines strong technical ownership with people leadership, with hands-on expertise across Databricks and Informatica.

Notice period: Immediate to 30 days; location: Pune. The ideal candidate should manage data engineering, solution design, and stakeholder engagement while driving SDLC-compliant delivery and continuous improvement.

Qualifications

• Experience leading data services teams in enterprise environments.
• Hands-on experience with Databricks and Informatica.
• Proven ability to translate business needs into scalable data solutions.
• Strong understanding of SDLC and Agile practices.
• Excellent stakeholder communication and people leadership skills.

Responsibilities

• Lead data engineering teams delivering Databricks and Informatica based solutions.
• Own technical direction for data platforms and scalability.
• Drive development of Databricks data products using Spark.
• Oversee Informatica environments including upgrades and migrations.
• Coordinate with business stakeholders to translate needs into solutions.
• Review designs and implementation plans for complex data initiatives.
• Manage incidents and drive continuous improvement of data services.
• Ensure on-time delivery across SDLC from requirements to deployment.
• Mentor and develop team capabilities and governance standards.
• Plan capacity and resource allocation across initiatives.

Skills

Databricks

Informatica

People Management

Data Engineering

Solution Design

SDLC

Agile Methodologies

Stakeholder Management

Communication

Tools

Apache Spark

Job description

We are looking for an experienced Data Services Manager to lead a team responsible for building, supporting, and enhancing enterprise data solutions. The role combines strong technical ownership with people leadership and requires hands‑on expertise across Databricks and Informatica.

Notice period - short Joiners (Immediate to 30 days official)

Experiene - 9-21 years

Location - Pune

The ideal candidate should be comfortable working across data engineering, solution design, production support, stakeholder management, and team development.

Key Responsibilities

• Lead and manage data engineering teams delivering Databricks and Informatica-based solutions across development, enhancement, and production environments.
• Own the technical direction for data platforms and ensure solutions are scalable, reliable, maintainable, and aligned with enterprise architecture.
• Drive development of Databricks data products and solutions, leveraging Apache Spark and modern data engineering practices.
• Oversee Informatica environments and delivery including development, upgrades, migrations, and platform-related initiatives.
• Partner with business stakeholders, architects, analysts, and technology teams to translate business needs into practical technical solutions.
• Review solution designs, technical approaches, interfaces, and implementation plans for complex data initiatives.
• Take ownership of critical incidents, troubleshooting, root‑cause analysis, and continuous improvement of data services.
• Ensure projects and releases progress effectively through the complete SDLC, from requirements and design through deployment and stabilization.
• Establish engineering standards, development practices, documentation, and governance across the team.
• Manage application/data‑service portfolios and coordinate with infrastructure, operations, QA, architecture, vendors, and other technology groups.
• Plan team capacity and allocate resources across multiple initiatives while maintaining delivery commitments and service quality.
• Develop team capabilities through mentoring, coaching, performance management, knowledge sharing, and career development.
• Build a culture of accountability, collaboration, and continuous technical improvement.
• Manage external technology partners and vendors where required and ensure delivery meets agreed technical and operational standards.
• Identify opportunities to modernize existing data solutions and improve platform performance, reliability, and operational efficiency.

Mandatory Skills

• Databricks: Strong hands‑on experience with Databricks and Apache Spark, particularly in building/developing data solutions or products
• Informatica: Strong experience with Informatica
• People Management: Demonstrated experience managing technical teams, including resource planning, mentoring, performance management, team development, and stakeholder engagement.
• Strong understanding of data engineering, systems analysis, and solution design.
• Experience providing technical leadership and taking ownership of complex technology initiatives.
• Good understanding of Agile methodologies and SDLC processes.
• Strong communication and stakeholder‑management capabilities.