Senior Lead Data Engineer

Primary Skills

Google Cloud Platform Administration, Google Cloud Platform (GCP), Gsuite, Apigee, GCP Security

Specialization

GCP Infrastructure Engineering: Engineer, Database & Middleware

Job requirements

Experience Range: With at least 5 to 8 years of hands-on experience in data engineering, including significant expertise in GCP infrastructure and cloud-based ETL solutions Key Responsibilities: 1. Design, develop, and optimize scalable data pipelines and ETL workflows on Google Cloud Platform using IICS and BigQuery 2. Implement, maintain, and troubleshoot GCP infrastructure components, ensuring high availability and security compliance 3. Automate data integration processes utilizing Python, SQL, and shell scripting to support business analytics and reporting 4. Configure and manage GCP security protocols, including IAM roles, audit logging, and data encryption to safeguard sensitive information 5. Integrate Salesforce data with cloud data warehouses, ensuring seamless data flow and accuracy 6. Monitor and tune BigQuery performance, optimizing queries and resource utilization for large-scale datasets 7. Lead migration and modernization initiatives, transitioning legacy systems to GCP-based architectures 8. Document technical solutions, workflow processes, and best practices for ongoing knowledge sharing and operational excellence Required Skills: 1. Google Cloud Platform (GCP) administration 2. IICS (Informatica Intelligent Cloud Services) 3. BigQuery 4. Shell scripting 5. Python 6. Advanced SQL Preferred Skills: 1. Experience with Salesforce data integration 2. Expertise in cloud migration strategies 3. Knowledge of data governance frameworks 4. Proficiency with Terraform or similar infrastructure-as-code tools 5. Familiarity with Kubernetes on GCP 6. Experience with real-time data streaming solutions Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a closely related discipline 2. Google Professional Data Engineer certification or equivalent relevant GCP certification 3. Informatica Cloud certification

Ovii Interpretation

This Senior Lead Data Engineer role focuses on building cloud-based data pipelines and operating secure, scalable Google Cloud infrastructure. The work combines ETL, warehouse optimization, system modernization, and integration of business data for analytics and reporting.

Role at a glance

GCP data engineeringCloud ETL pipelinesInfrastructure administrationData warehouse optimizationCloud securitySystem migration

Skills mentioned

Google Cloud Platform (GCP) administrationIICS (Informatica Intelligent Cloud Services)BigQueryShell scriptingPythonAdvanced SQLGCP securityGsuiteApigeeSalesforce data integration (preferred)

What you will likely work on

Build and tune scalable ETL pipelines on GCP using IICS and BigQuery.
Maintain GCP infrastructure, including availability, troubleshooting, and security controls.
Automate data integration with Python, SQL, and shell scripting for analytics and reporting.
Configure access controls, audit logs, and encryption to protect data.
Connect Salesforce data to cloud warehouses and maintain data accuracy.
Optimize BigQuery queries and resource use for large datasets.
Move legacy systems to modern GCP architectures.
Document technical solutions, workflows, and operating practices.

Good fit signals

You bring 5–8 years of hands-on data engineering experience, including substantial GCP infrastructure and cloud ETL work.
You have practical experience administering GCP and delivering with IICS, BigQuery, Python, shell scripting, and advanced SQL.
You can troubleshoot cloud infrastructure and apply security controls such as IAM, audit logging, and encryption.
Salesforce integration, migration expertise, governance knowledge, Terraform, Kubernetes, or streaming experience may be helpful.
A relevant bachelor's degree and GCP or Informatica Cloud certification are listed as desired qualifications.

Meet Brillio

Brillio is a technology consulting and services company that helps enterprises build and modernize software, data platforms and digital operations. Its services span AI and data engineering, application development, customer experience transformation, cloud infrastructure and security. It serves businesses in banking and financial services, insurance, healthcare and life sciences, retail, consumer goods, telecommunications and media. Its ADAM platform, short for Agentic Data and Application Management, provides tools to build, orchestrate and govern AI agents and supporting data workflows. Brillio combines consulting, engineering and implementation services to address legacy systems, fragmented data and the challenges of moving AI applications into production. Founded in 2014, the company is headquartered in Dallas and operates delivery locations across North America, Europe and Asia.

Founded: 2014
Company size: 5,001-10,000 employees
Company stage: Not known
Headquarters: Dallas, USA

Why work here

Brillio offers work on enterprise AI, cloud migration, application modernization and data platforms for large companies. Current engineering roles use React, Python, AWS, Azure, Databricks and Snowflake. Development programs include Brillio Academy, graduate training and Winspire for women leaders. Its role-specific AI training combines hands-on practice with assessment and earned two Gold Brandon Hall HCM Excellence Awards in 2026. Brillio's October 2026 U.S. Great Place to Work profile reports that 81% of respondents consider it a great workplace. Work arrangements depend on the project; some roles require client-office attendance or shifts.

Industry: IT Services and Consulting / Enterprise AI
Open jobs: 219 open jobs
Notable investors: Bain Capital, The Orogen Group

Tech stack

React

Frontend library

TypeScript

Programming language

Java

Programming language

Python

Programming language

AWS

Cloud platform

Microsoft Azure

Cloud platform

Databricks

Data and AI platform

Snowflake

Cloud data platform

Apache Airflow

Workflow orchestration

dbt

Data transformation

Key people

5 people

Raj MamodiaChairman, Founder and Chief Executive OfficerView bio

Founded Brillio in 2014 and leads the company as chairman and CEO. Previously held technology and management roles at Larsen & Toubro, IBM and Cognizant. He holds a bachelor's degree in mechanical engineering from Motilal Nehru National Institute of Technology and an MBA from Northwestern University's Kellogg School of Management.

Chander DamodaranChief Technology OfficerView bio

Leads Brillio's technology innovation and advises clients on digital and AI initiatives. He brings more than 25 years of experience in architecture, engineering, innovation and product development. His responsibilities include strengthening engineering capabilities and translating business needs into technology solutions.

Sridhar KrishnamurthyChief Human Resources OfficerView bio

Leads Brillio's people strategy and culture. As a member of its founding leadership team, he has helped develop the workforce throughout the company's global expansion. His remit includes employee capability development and preparing technical, delivery, sales and leadership teams to apply AI in their work.

Jitendra KukdayGlobal Head of the Growth OfficeView bio

Leads Brillio's Growth Office and brings more than 28 years of experience in IT services and business process outsourcing. His industry commentary focuses on modernizing legacy systems and data foundations so insurers can deploy AI in production.

View all 5 people

Jeff McMillanIndependent DirectorView bio

Joined Brillio's board in 2026, bringing experience deploying AI in financial services. Founder of McMillanAI, he previously led firmwide AI and wealth management analytics at Morgan Stanley and held senior roles at Merrill Lynch. He is a West Point graduate and teaches AI in financial services at Columbia University.

Latest company news

3 stories

Brillio recognized as an ISG Leader for AI-driven application development

BrillioSep 25, 2026

ISG named Brillio a Leader in the Application Development Projects category of its 2026 U.S. study, highlighting the ADAM platform, industry-focused delivery teams and application modernization capabilities.

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Brillio joins Salesforce's Forward Deployed Engineering Partner Network

BrillioSep 14, 2026

Brillio joined Salesforce's invitation-only engineering partner network to support Agentforce deployments and enterprise AI adoption through closer collaboration with Salesforce product and engineering teams.

Read article

Brillio becomes a Databricks Silver Partner

BrillioSep 1, 2026

The partnership combines Brillio's ADAM accelerator and industry solutions with the Databricks Data Intelligence Platform to support data modernization, governance and production AI deployments.

Read article

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