Lead Data Engineer

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

About the Role

We are seeking an experienced and highly capable Lead Data Engineer to lead data migration, data engineering, and data governance initiatives supporting our next-generation Salesforce-powered Conversational Agentic ITSM Platform.

This role is responsible for defining migration strategies, designing scalable data architectures, establishing governance frameworks, and leading teams responsible for migrating and integrating data from legacy platforms into Salesforce and Enterprise Service Management ecosystems.

The ideal candidate combines deep expertise in data engineering, data migration, cloud platforms, and enterprise data architecture with strong leadership and stakeholder management capabilities. You will work closely with Salesforce Leads, Architects, Integration Teams, Business Analysts, and customer stakeholders to enable accurate, secure, and reliable data foundations that support AI-powered service experiences, enterprise automation, and business transformation initiatives.

This is an excellent opportunity for professionals who enjoy solving large-scale data challenges while shaping the future of Enterprise Service Management, Agentforce, and Salesforce-driven innovation.

Key Responsibilities

Data Migration Leadership

• Lead end-to-end data migration initiatives supporting Salesforce and Enterprise Service Management transformation programs.
• Define migration strategies, migration roadmaps, cutover plans, reconciliation frameworks, and migration governance processes.
• Assess legacy source systems and determine migration approaches aligned with business and technical objectives.
• Establish migration success criteria, validation processes, and quality checkpoints.
• Drive data cleansing, standardization, enrichment, and remediation activities to improve overall data quality.
• Act as the primary data migration lead across implementation and transformation programs.

Data Architecture & Engineering

• Design scalable, secure, and high-performing data architectures supporting Salesforce and enterprise platforms.
• Define data transformation, mapping, validation, and cleansing strategies.
• Develop reusable migration frameworks, ETL/ELT pipelines, and automation utilities.
• Establish Master Data Management (MDM) principles and enterprise data governance standards.
• Ensure compliance with data privacy, security, regulatory, and organizational governance requirements.
• Drive adoption of data engineering best practices across projects.

Salesforce & ITSM Data Enablement

• Lead migration and transformation of:
  • Incident Records
  • Service Requests
  • Change Records
  • Problem Records
  • Knowledge Articles
  • CMDB Data
  • IT Asset Management Data
  • User and Organizational Hierarchies
  • Support Team Structures
  • Service Catalog Data
• Partner closely with Salesforce Architects and Leads to ensure alignment with Salesforce data models and platform design.
• Support data readiness activities for Agentforce, AI-powered workflows, reporting, analytics, and automation initiatives.

Team Leadership & Governance

• Lead and mentor Data Engineers and Senior Data Engineers across multiple workstreams.
• Establish data quality KPIs, migration success metrics, and governance frameworks.
• Conduct stakeholder reviews, executive reporting, and risk assessments.
• Drive issue resolution, dependency management, and mitigation planning.
• Foster a culture of continuous improvement, automation, and engineering excellence.

Collaboration & Delivery

• Collaborate with Architects, Integration Developers, Salesforce Developers, Business Analysts, and Quality Analysts.
• Support effort estimation, sprint planning, release planning, and project governance activities.
• Ensure timely and high-quality delivery of data migration and engineering workstreams.
• Participate in solution reviews and enterprise architecture discussions.

AI & Innovation

• Support data foundations for Agentforce, Data Cloud, AI-driven automation, and conversational service experiences.
• Contribute to enterprise data strategy and modernization initiatives.
• Evaluate emerging data technologies and recommend innovative approaches to improve scalability, quality, and operational efficiency.
• Drive automation opportunities across migration, validation, and governance processes.

Required Qualifications

Must Have

• 7–10 years of overall IT experience.
• Minimum 5+ years of experience in Data Engineering, Data Migration, or Data Architecture roles.
• Experience leading enterprise-scale data migration initiatives.
• Experience supporting Salesforce implementations and transformation programs.
• Strong understanding of Salesforce data models and platform architecture.
• Deep expertise in:
  • Data Engineering
  • Data Migration
  • ETL/ELT Development
  • Data Quality Management
  • Data Governance
  • Data Warehousing
  • Master Data Management (MDM)
• Experience working in Agile, Scrum, and DevOps-driven delivery environments.
• Strong stakeholder management, leadership, and communication skills.

Technical Expertise

• SQL
• Python
• ETL/ELT Pipelines
• Data Warehousing
• Data Modeling
• Data Quality Frameworks
• Data Mapping & Transformation
• Azure Data Factory
• Databricks
• Snowflake
• Informatica
• Talend
• SSIS
• Cloud Data Platforms
• Data Reconciliation & Validation Frameworks

Salesforce Expertise

Strong understanding of:

• Salesforce Service Cloud
• Salesforce Sales Cloud
• Salesforce Experience Cloud
• Salesforce Data Model
• Salesforce Data Migration Strategies
• Salesforce Reporting & Analytics
• Salesforce ITSM Solutions
• Agentforce
• Data Cloud Fundamentals

Preferred Qualifications

• Experience implementing Enterprise Service Management (ESM) and IT Service Management (ITSM) solutions.
• Experience managing migrations from legacy ITSM platforms.
• Strong knowledge of:
  • CMDB
  • IT Asset Management
  • Service Management Processes
  • Enterprise Data Governance
• Experience working with multi-cloud and enterprise-scale data environments.
• Experience supporting large-scale Digital Transformation initiatives.

Certifications

• Salesforce Data Cloud Certification
• Azure Data Engineer Associate
• Databricks Data Engineer Certification
• Snowflake Certification
• Informatica Certification
• Other relevant Data Engineering certifications

Added Advantage

• Experience supporting Agentforce and AI-powered service management platforms.
• Exposure to Generative AI, Data Cloud, and intelligent automation initiatives.
• Experience building enterprise data platforms supporting analytics and machine learning workloads.
• Knowledge of ITIL, Enterprise Service Management, and operational support processes.
• Experience supporting digital transformation and modernization programs.

What We Are Looking For

We are seeking professionals who:

• Think strategically while remaining hands-on technical leaders.
• Enjoy solving complex data migration and data engineering challenges.
• Can mentor teams while driving delivery excellence.
• Have strong business acumen and stakeholder management skills.
• Are passionate about data, Salesforce, AI, and enterprise transformation.
• Thrive in fast-paced environments focused on innovation and continuous improvement.
• Demonstrate ownership, accountability, and a quality-first mindset.

Why Join Us?

• Lead strategic data migration and engineering initiatives supporting a Salesforce-powered Conversational Agentic ITSM Platform.
• Work with cutting-edge technologies including Data Cloud, Agentforce, Salesforce, AI, Databricks, Snowflake, and enterprise data platforms.
• Influence enterprise data architecture, migration strategy, governance, and engineering best practices.
• Mentor and develop high-performing data engineering teams.
• Collaborate with architects, product teams, business stakeholders, and technology leaders driving large-scale transformation programs.
• Accelerate your career toward Data Architect, Enterprise Data Architect, or Technology Leadership pathways.
• Join a rapidly growing organization where innovation, technical excellence, and customer success are core to our culture.
• Enjoy a flexible hybrid work model across Kochi, Bangalore, and Hyderabad.

Join Us

If you are an experienced Lead Data Engineer who is passionate about enterprise data architecture, data migration, data governance, and technical leadership, we would love to hear from you. Join us in building the future of AI-powered Enterprise Service Management and Conversational Agentic Platforms, creating the trusted data foundation that drives intelligent automation, exceptional service experiences, and business transformation.

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Estimated Pay Range:
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.