Senior Data Engineer - Google Cloud Platform, Snowflake

Your Impact

• Design and implement scalable data pipelines and ingestion frameworks using Snowflake and Google Cloud Platform.
• Lead and support data migration initiatives between enterprise data platforms, including Snowflake-based environments.
• Build, optimize, and maintain data models that support analytics, reporting, and data product consumption.
• Develop and manage metadata-driven solutions, ensuring data assets are discoverable, governed, and reusable.
• Create, maintain, and enhance YAML-based configurations, metadata definitions, and deployment artifacts.
• Collaborate with architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Produce high-quality technical documentation for data products, pipelines, operational processes, and platform capabilities.
• Support CI/CD and infrastructure automation practices, leveraging Infrastructure as Code principles where applicable.

Skills & Experience

• 8+ years of experience in Data Engineering or related data platform roles.
• Strong hands-on experience with Snowflake in production environments.
• Experience building data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Composer, or equivalent GCP services).
• Proven experience delivering data migration or modernization projects involving Snowflake and cloud-based data platforms.
• Strong understanding of dimensional modelling, data warehousing, and data modelling best practices.
• Proficiency in SQL and one or more programming languages such as Python.
• Experience creating technical documentation, data product documentation, and operational runbooks.
• Experience authoring and maintaining YAML-based configurations, metadata definitions, or declarative frameworks.
• Experience working with metadata management, data cataloging, and data governance concepts is highly desirable.

Set Yourself Apart With

• Hands-on experience with Terraform and Infrastructure as Code practices.
• Experience implementing metadata-driven data platforms or DataOps frameworks.
• Familiarity with data cataloging tools such as DataHub, Collibra, Alation, or similar platforms.
• Experience defining data products, ownership models, and data contracts.
• Knowledge of CI/CD pipelines and automated deployment patterns for data platforms.
• Experience working in modern cloud-native architecture and enterprise-scale data transformation programs.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]