Senior Data Engineer Snowflake and GCP

Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people. Here’s what you can expect: Competitive base Flexible work model: hybrid, remote, or in-office Real growth opportunities and leadership visibility Inclusive, respectful culture that blends U.S. innovation with Colombian heart A company that listens, invests in you, and celebrates wins together We are looking for a Senior Data Engineer with a strong hands-on experience designing, building, and maintaining modern data platforms using Snowflake and Google Cloud Platform (GCP). This role will focus on data migration, data integration, and data product enablement initiatives, helping organizations build scalable, governed, and well-documented data ecosystems. What you will do: The ideal candidate combines solid engineering expertise with a strong understanding of data modeling, metadata management, and data product documentation. Experience with infrastructure as Code (Terraform) and metadata-driven architectures is highly valued. Documentation and ownership of data assets are key aspects of this role. AI Application Development & Orchestration 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. What you bring: Experience: 5+ 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. Experience working with metadata management, data cataloging, and data governance concepts. 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. 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. Visa Sponsorship AspenView does not sponsor employment visas for this role. Applicants must be currently authorized to work in the United States on a permanent basis without the need for visa sponsorship now or in the future. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.