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Urgent! Bigdata Strategist Job Opening In Pune – Now Hiring Cybage Software

Bigdata Strategist



Job description

Role Overview

Cybage is seeking a Practice Head for Big Data to lead and grow our data engineering and analytics capability within the Cloud, Data & AI business unit.

This is a strategic leadership role requiring a strong mix of technical expertise, practice-building ability, and client consulting experience .

The Practice Head will define the Big Data vision, shape offerings, guide client engagements, and build high-performing teams.

The role is suited for leaders who have scaled Big Data practices in IT services—whether at large or mid-size scale—and who can balance hands-on technical credibility with executive-level client engagement .


Key Responsibilities

Practice Leadership

  • Define the strategic direction for Cybage’s Big Data practice, aligned to client needs and CDAI growth goals.

  • Build a portfolio of offerings across modern data platforms, streaming, advanced analytics, governance, and AI/ML integration .

  • Drive IP creation, accelerators, and reusable frameworks to differentiate Cybage in the services marketplace.

Client Consulting & Business Growth

  • Lead consulting-grade workshops with CxO stakeholders to shape enterprise data strategies.

  • Partner with sales and account teams on presales solutioning, proposals, and proactive client engagement.

  • Position Cybage as a trusted advisor for Big Data transformations, with a focus on measurable outcomes.

Delivery Excellence

  • Govern delivery across multiple engagements, ensuring quality, predictability, and client satisfaction.

  • Drive adoption of service-based and outcome-based delivery models , balancing innovation with execution rigor.

  • Provide architectural oversight across projects and guide teams on modern Big Data stacks (Databricks, Snowflake, AWS/GCP/Azure, Kafka, Spark, Delta Lake, etc.).

Team & Capability Building

  • Build and mentor a high-performing practice team of architects, engineers, and managers.

  • Develop future leaders by fostering technical depth and consulting skills within the team.

  • Collaborate with Cloud, AI/ML, and Platform Engineering practices for integrated client solutions.


Qualifications

Experience

  • 15+ years in IT services, with at least 5–7 years in Big Data leadership, architecture, or practice-building roles .

  • Demonstrated ability to establish or grow a practice , including team building, offering creation, and client engagement.

  • Exposure to service delivery models : managed services, consulting, and outcome-based engagements.

  • Consulting experience: running executive workshops, shaping client roadmaps, and translating business needs into scalable data solutions.

Skills & Competencies

  • Technical bent : strong grounding in modern Big Data architectures, with the ability to dive deep when needed.

  • Strategic mindset : ability to link Big Data initiatives to business outcomes and growth metrics.

  • Leadership : strong people development skills; experience building practices and leading distributed teams (even if at a modest scale).

  • Client-facing presence : excellent communication and advisory skills with senior executives.


Required Skill Profession

It Services And It Consulting



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