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360 Resourcing Solutions Logo 360 Resourcing Solutions · IT - Software Development

Data Practice Lead

India, Vadodara · Job Posted January 10, 2026
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Job Description

We are seeking an experienced and visionary Practice Lead – Data Engineering to build, scale, and lead our Data Engineering practice as a strategic capability within the organization. This role is a key investment aligned with our long-term growth strategy, recognizing data as a foundational pillar for digital transformation, analytics, AI/ML, and enterprise decision-making. The Practice Lead will be responsible for defining the technical vision, delivery standards, talent strategy, and commercial roadmap for the Data Engineering practice. While current engagements span platforms such as Azure Data Factory, Microsoft Fabric, Synapse Analytics, Microsoft Purview, Power BI, and enterprise integration projects, the role is technology-agnostic and forward-looking, with a mandate to continuously evolve the practice in line with market trends and client needs. This role combines deep technical expertise, delivery governance, people leadership, and business acumen, and will act as a trusted advisor to both clients and internal leadership.

Job Responsibility

  • Define and own the Data Engineering practice roadmap, including technology direction, service offerings, accelerators, and reusable frameworks
  • Continuously evaluate emerging platforms, architectures, and tools across cloud and open-source ecosystems (Azure, AWS, Fabric, Databricks, Snowflake, etc.)
  • Establish the practice as a Center of Excellence (CoE) for data ingestion, transformation, governance, and analytics enablement
  • Align practice goals with organizational growth objectives, client demands, and industry trends
  • Act as the technical authority for all data engineering engagements across the organization
  • Define reference architectures, design standards, and best practices for: Data lakes, lakehouses, and warehouses
  • Metadata management, lineage, and governance
  • Data quality, observability, and performance optimization
  • Batch and real-time data pipelines
  • Review and guide solution designs across projects to ensure scalability, security, and maintainability
  • Provide oversight across multiple client engagements to ensure consistent delivery quality
  • Define and enforce engineering practices including: Coding standards and reviews
  • Pipeline testing and validation
  • CI/CD for data workflows
  • Documentation and knowledge management
  • Conduct periodic technical health checks and delivery audits to proactively identify risks and improvement areas
  • Partner with Delivery Managers and Architects to resolve complex delivery challenges
  • Act as a trusted technical advisor for clients on data strategy, modernization, and platform adoption
  • Support pre-sales activities including solutioning, estimations, proposals, and client presentations
  • Translate business requirements into scalable data architecture and implementation approaches
  • Help clients move from traditional reporting to modern, data-driven decision-making platforms
  • Define skill matrices, learning paths, and certification plans for the practice
  • Mentor senior engineers and groom future practice leaders and architects
  • Foster a culture of engineering excellence, ownership, and continuous learning

Requirements

  • About 12 to 15 years of experience in data engineering, analytics platforms, or large-scale integration programs
  • At least 5 years in a senior technical leadership, architecture, or practice-building role
  • Proven experience building and scaling enterprise-grade data platforms
  • Azure Data Factory, Synapse Analytics, Microsoft Fabric
  • Data governance tools such as Microsoft Purview
  • BI platforms like Power BI
  • Broad exposure to data engineering concepts: ETL/ELT, streaming, and event-driven pipelines
  • Data lakehouse and warehouse architectures
  • Data quality, lineage, security, and compliance
  • Experience across cloud platforms (Azure preferred
  • AWS exposure is a plus)
  • Familiarity with DevOps, CI/CD, and Infrastructure-as-Code for data platforms
  • Strong stakeholder management and executive communication skills
  • Ability to balance technical depth with business and commercial considerations
  • Experience working with multiple clients and managing competing priorities
  • Strategic mindset with a bias for execution and measurable outcomes
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