Senior Data Engineer L2 or Manager (GCP + Snowflake)

MPS Group LLC; Bogotá ciudad; Presencial; COP 120.000.000 - 210.000.000; Jornada completa

Descripción de la vacante

MPS Group LLC is seeking a Senior Data Engineer to design and sustain modern data platforms on Snowflake and GCP. You will own data migration, data integration, and data product enablement, enabling scalable, governed, and well-documented data ecosystems. Strong modeling, metadata management, and IaC experience are highly valued.

The role emphasizes collaboration with architects, analysts, and business stakeholders, plus producing comprehensive data product documentation and deployment artifacts.

Formación

• 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).
• Proven data migration or modernization projects involving Snowflake and cloud platforms.
• Knowledge of dimensional modeling, data warehousing, and best practices.
• Experience with metadata management, data cataloging, and governance concepts.
• Proficiency in SQL and Python.
• Experience documenting data products and runbooks; YAML configurations encouraged.
• Hands-on Terraform and Infrastructure as Code practices are valued.

Responsabilidades

• Design scalable data pipelines and ingestion frameworks using Snowflake and GCP.
• Lead data migration initiatives between enterprise data platforms.
• Build and optimize data models to support analytics and reporting.
• Develop metadata-driven solutions ensuring data assets are governed and reusable.
• Create and maintain YAML configurations, metadata definitions, and deployment artifacts.
• Collaborate with architects, analysts, and stakeholders to translate requirements.
• Produce high-quality technical documentation for data products and processes.
• Support CI/CD and IaC practices where applicable.

Conocimientos

Snowflake

Python

SQL

Data modeling

Metadata management

Data governance

Herramientas

Google Cloud Platform (GCP)

BigQuery

Terraform

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.