Senior Data Engineer L2 or Manager (GCP + Snowflake)

MPS Group LLC; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

MPS Group LLC in Bogotá seeks a Senior Data Engineer to design, build, and maintain modern data platforms using Snowflake and GCP. You will drive data migration and data product enablement initiatives to create scalable, governed data ecosystems and well-documented assets.

The role requires strong data modelling, metadata management, and experience with IaC (Terraform). You will produce comprehensive data product documentation and collaborate with architects, analysts, and stakeholders to

Formación

• 5+ years in Data Engineering or related data platform roles.
• Hands-on Snowflake experience in production environments.
• Experience building data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Composer).
• Proven data migration or modernization projects involving Snowflake and cloud platforms.
• Strong understanding of dimensional modelling and data warehousing.
• Experience with metadata management, data cataloging, and governance.
• Proficiency in SQL and Python.
• Experience creating data product documentation and runbooks.
• Experience authoring YAML configurations or declarative frameworks.
• Hands-on Terraform and IaC practices valued.
• Experience with metadata-driven DataOps frameworks is highly valued.
• Familiarity with DataHub, Collibra, Alation is highly valued.
• Knowledge of CI/CD pipelines and automated deployment patterns for data platforms.

Responsabilidades

• Design and implement scalable data pipelines and ingestion frameworks using Snowflake and Google Cloud Platform.
• Lead data migrations 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.

Conocimientos

Snowflake

Google Cloud Platform

SQL

Python

Terraform

Data modelling

Metadata management

Data governance

CI/CD

Herramientas

DataHub

Collibra

Alation

Descripción del empleo

At MPS Group, we empower businesses with cutting-edge technology solutions and expert consulting. We proudly serve a diverse range of industries, including IT, Fintech, Airlines, Energy, and more. Our expertise spans front-end technologies (React, Angular, Vue.js), back-end technologies (Java, .NET, Node.js, Python), and comprehensive Data Solutions (Database, Data Warehousing, BI, Reporting, Analytics). Our services include custom software development, QA Testing (SDET), Automation Testing, IT staffing, business development consulting, and DevOps services. We adopt both Agile and Waterfall methodologies, offering flexibility through onshore, nearshore, and offshore delivery models. From cloud solutions (Microsoft Azure, AWS, GCP) to digital advisory and project management, we craft innovative, tailored strategies designed to meet your specific business goals and drive long-term success.

About the Role

We are looking for a Senior Data Engineer with 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. The ideal candidate combines solid data engineering expertise with a strong understanding of data modelling, 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.

Responsibilities

• 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.

Requirements

• 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 (highly valued).
• Experience implementing metadata‑driven data platforms or DataOps frameworks (highly valued).
• Familiarity with data cataloging tools such as DataHub, Collibra, Alation, or similar platforms (highly valued).
• Experience defining data products, ownership models, and data contracts (highly valued).
• Knowledge of CI/CD pipelines and automated deployment patterns for data platforms (highly valued).

Benefits will be discussed during the hiring process.