Sutherland is seeking an experienced and highly skilled GCP Data Engineer Lead to design, develop, and manage scalable cloud-based data solutions on Google Cloud Platform (GCP). The candidate will lead the data engineering team, drive architecture decisions, and ensure best practices in data pipeline development, data warehousing, and cloud-native solutions.
The ideal candidate should possess strong technical expertise in GCP services, modern data engineering practices, and team leadership capabilities.
Job DescriptionKey Responsibilities
- Lead and mentor the data engineering team for project delivery and technical excellence.
- Design and implement scalable ETL/ELT data pipelines on GCP.
- Build and optimize data lakes and data warehouses using BigQuery.
- Develop batch and real-time data processing solutions.
- Collaborate with architects, business stakeholders, analysts, and development teams.
- Perform code reviews and enforce engineering best practices.
- Support CI/CD implementation and DevOps best practices.
- Provide technical guidance during project planning and estimation.
Technical Skills
- Strong hands-on experience with Google Cloud Platform (GCP)
- Expertise in:
- BigQuery
- Git
- Cloud Composer
- Dataflow
- Pub/Sub knowledge
- Cloud Storage (GCS)
- Cloud Functions
- Looker knowledge
- Knowledge of BI/reporting tools such as Looker
- Strong experience Big query and SQL
- Good understanding of data modeling and warehousing concepts
- Experience with ETL/ELT frameworks and orchestration tools
- Knowledge of Terraform or Infrastructure as Code (IaC)
- Knowledge with CI/CD pipelines and Git-based workflows
- Familiarity with Airflow and DevOps practices
Leadership Skills
- Experience leading technical teams and client communication
- Strong problem-solving and decision-making abilities
- Ability to manage delivery timelines and technical risks
- Excellent communication and stakeholder management skills
Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a highly quantitative field.
Experience: 7-8 Years hands-on experience in data engineering, data warehousing, or large-scale software development.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a quantitative field.
- 7-8 years hands-on experience in data engineering, data warehousing, or large-scale software development.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Expertise in BigQuery.
- Expertise in Git.
- Expertise in Cloud Composer.
- Expertise in Dataflow.
- Knowledge of Pub/Sub.
- Experience with Google Cloud Storage (GCS).
- Experience with Cloud Functions.
- Knowledge of Looker and BI/reporting tools.
- Strong BigQuery and SQL skills.
- Good understanding of data modeling and warehousing concepts.
- Experience with ETL/ELT frameworks and orchestration tools.
- Knowledge of Terraform or Infrastructure as Code (IaC).
- Knowledge of CI/CD pipelines and Git-based workflows.
- Familiarity with Airflow and DevOps practices.
- Experience leading technical teams and client communication.
- Ability to manage delivery timelines and technical risks.
- Excellent communication and stakeholder management skills.
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman
