Data Migration Lead

Greetings of the day..!

Momento USA is a global technology consulting, talent acquisition and creative development firm that addresses clients’ most pressing needs and challenges. We are currently looking for “Data Migration Lead” - Remote

Job Title: Data Lead – Data Migration (Insurance Domain)

Experience: 10+ Years

Location: – Remote

Independent candidates prefered 

Skills Required- Data Lead: Python, ETL, Google Cloud Platform, Customer facing, Implemented solutions for large-scale structured and semi-structured data processing, Data migration, insurance domain

Role Overview

We are seeking an experienced Data Lead to drive large-scale data migration initiatives for an enterprise insurance client. This is a highly customer-facing role, requiring active engagement with client stakeholders to shape migration strategies, drive decision-making, and ensure successful execution.

The ideal candidate will lead end-to-end migration from legacy systems to modern platforms, leveraging data engineering expertise and AI-driven approaches to significantly accelerate migration timelines while ensuring data quality, consistency, and compliance.

Key Responsibilities

1. Customer Engagement & Stakeholder Management (Critical)

Act as the primary data lead interfacing with customer stakeholders, including business, IT, and leadership teams.

Actively participate in client discussions, workshops, and design sessions to define migration scope, strategy, and roadmap.

Translate business requirements into scalable technical data solutions.

Provide thought leadership and advise customers on best practices, risks, and optimization strategies.

Clearly communicate progress, dependencies, risks, and mitigation plans.

2. Data Migration Leadership

Lead end-to-end data migration strategy, planning, and execution from legacy insurance systems to modern platforms.

Define and drive migration approaches (re-platforming, transformation, phased migration, etc.).

Ensure minimal business disruption and high data integrity.

3. Data Engineering & Architecture

Design and implement scalable data pipelines and frameworks using Python, SQL, and ETL tools.

Architect solutions for large-scale structured and semi-structured data processing.

Establish robust frameworks for data validation, reconciliation, and transformation.

4. AI-Driven Migration Acceleration

Leverage AI/ML and Generative AI techniques to:

Automate data mapping and schema conversion

Identify anomalies and improve data quality

Accelerate testing, validation, and reconciliation

Optimize migration workflows using intelligent automation to reduce overall timeline significantly.

5. Cloud & Technology Implementation

Build and deploy solutions on Google Cloud Platform (Google Cloud Platform):

BigQuery, Dataflow, Dataproc, Cloud Storage, Composer

Develop cloud-native ETL/ELT pipelines and integration solutions.

Ensure scalability, security, and cost efficiency.

6. Data Governance & Quality

Define and enforce data governance, lineage, and quality frameworks.

Ensure compliance with insurance regulatory requirements.

Establish reconciliation mechanisms and audit readiness.

7. Team Leadership

Lead and mentor a team of data engineers and analysts.

Drive technical excellence and delivery quality.

Conduct design reviews and ensure adherence to standards.

Required Skills & Qualifications

Technical Skills

Strong expertise in:

Python (mandatory)

SQL (advanced level)

ETL/ELT frameworks

Hands-on experience with Google Cloud Platform (Google Cloud Platform):

BigQuery, Dataflow, Dataproc, Cloud Storage

Strong foundation in:

Data modeling (dimensional & normalized)

Data warehousing

Distributed data processing

Customer-Facing & Leadership Skills

Proven experience in customer-facing roles, interacting directly with enterprise clients

Ability to lead discussions, influence decisions, and drive consensus

Strong communication, presentation, and consulting skills

Experience working with cross-functional and global teams

AI & Automation

Experience using AI/ML or GenAI to improve data engineering or migration processes

Understanding of automation frameworks for data validation and transformation

Domain Experience

Experience in Insurance domain (policy, claims, underwriting, billing) is highly preferred

Preferred Qualifications

Experience with data migration frameworks/tools

Knowledge of data governance platforms (Collibra, Alation, etc.)

Familiarity with DataOps / CI-CD practices

Google Cloud Platform / Data Engineering / AI certifications

Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Thanks & Regards

John Wilson

Momento USA | Exceeding Customer Expectations…

Email:  Web: 

 

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.