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.

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.

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.

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.

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

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.

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.

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.

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.

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

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

Salesforce Data Cloud Certification

Azure Data Engineer Associate

Databricks Data Engineer Certification

Snowflake Certification

Informatica Certification

Other relevant Data Engineering certifications

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.

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.

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.

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.

What are the key challenges in this role?Explain the Agentforce platform.How does this role support AI-powered ITSM?

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.