Required Lead GCP Data Engineer - Remote
Adil Momento
Hi,
Greetings !!!
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 a Lead GCP Data Engineer – Remote. Please let me know if you are interested.
Job Title: Lead GCP Data Engineer – Data Migration (Insurance Domain)
Experience: 8+ Years
Onsite – Remote
Skills Required- Data Lead: Python, ETL, GCP, 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 (GCP):
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 (GCP):
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
GCP / Data Engineering / AI certifications
Thanks,
Adil M
Sr. Technical Lead
Momento USA | Exceeding Customer Expectations…
Email: ad...@momentousa.com