Data Platform Administrator

Cognizant; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Cognizant is seeking a Snowflake & DBT Data Engineer to manage and optimize our data platform, supporting analytical and business operations within asset management. You will administer Snowflake environments, implement DBT Core projects, and develop robust data pipelines across the organization.

Responsibilities include configuring Snowflake Tasks, developing DBT macros, and overseeing DBT Cloud deployments while collaborating with data engineers and analysts to translate business requirements

Formación

• Proficient in Snowflake administration, roles, warehouses, databases, and performance tuning.
• Strong DBT Core knowledge: models, tests, documentation, transformations.
• Experience with DBT Cloud: jobs, environments, execution policies, collaboration features.
• Advanced SQL and Python skills for data modeling and pipelines.
• Familiarity with GitHub-based collaboration and version control workflows.
• Understanding of asset management data contexts (trades, positions, valuations).
• Ability to work in a hybrid environment with onsite and remote teammates.

Responsabilidades

• Manage Snowflake platforms for high availability, performance, and secure access.
• Perform DBT testing on Snowflake and develop robust DBT models.
• Configure Snowflake Tasks to orchestrate data pipelines and monitoring.
• Administer Snowflake accounts including roles, policies, and resource allocation.
• Develop DBT Core projects implementing robust transformations and data quality checks.
• Create DBT macros to standardize transformations across teams.
• Oversee DBT Cloud deployments including environments and run configurations.
• Collaborate with engineers to translate requirements into Snowflake schemas and models.
• Monitor data pipelines with logs and metrics, troubleshoot issues, implement remediation.
• Implement data security and governance, including masking policies and audited data sharing.
• Coordinate Snowflake/DBT integrations with enterprise tools for hybrid work.
• Document configurations and runbooks for onboarding and consistency.
• Drive optimization by analyzing platform utilization and performance trends.

Conocimientos

Snowflake admin

DBT Core

DBT Cloud

SQL

Python

GitHub

Data governance

Asset management

Herramientas

PowerCenter

Teradata

Descripción del empleo

Snowflake & DBT Data Engineer

About the role

We are looking for a Data Engineer with strong hands-on experience in Snowflake and DBT to manage and optimize our data platform, supporting analytical and business operations within the asset management area.

Responsibilities

• Manage Snowflake data platform environments to ensure high availability, predictable performance, and secure access for analytical and operational workloads across the organization.
• Perform DBT testing on Snowflake.
• Configure and optimize Snowflake Tasks to orchestrate complex data pipelines, automate recurring jobs, and maintain reliable scheduling and monitoring for critical data processes.
• Administer Snowflake account-level settings, including roles, policies, resource allocation, and usage monitoring, to support cost-effective and compliant data operations.
• Develop and maintain DBT Core projects that implement robust transformation logic, enforce data quality checks, and standardize modeling patterns for shared enterprise datasets.
• Create and refine DBT macros that encapsulate reusable transformation logic, streamline project implementation, and promote consistent coding practices across multiple data teams.
• Oversee DBT Cloud deployments by managing environments, jobs, and run configurations, ensuring smooth execution of production and non-production data workflows.
• Collaborate with data engineers and analysts to translate business requirements into efficient Snowflake schemas and DBT models that enable accurate reporting and advanced analytics.
• Monitor data pipeline health using platform logs and metrics, proactively troubleshoot issues, and implement remediation steps that minimize disruption to downstream consumers.
• Implement robust data security and governance controls within Snowflake, including role-based access patterns, masking policies, and audited data sharing to protect sensitive information.
• Coordinate with infrastructure and application teams to integrate Snowflake and DBT with enterprise tools such as version control, monitoring platforms, and catalog solutions, supporting hybrid work arrangements.
• Document platform configurations, operational runbooks, and data workflow standards in clear technical references that enable consistent administration and easier onboarding for new team members.
• Drive continuous improvement by analyzing platform utilization trends, recommending optimization strategies, and implementing changes that enhance performance and reduce operational overhead.
• Support asset management operations stakeholders by maintaining reliable data platforms that provide timely, accurate, and well-curated information for portfolio analysis and regulatory reporting.

Qualifications

• Deep experience with Snowflake administration, managing roles, warehouses, databases, and performance tuning to support complex analytical and operational workloads.
• Strong practical knowledge of Snowflake Tasks to design dependable schedules, handle dependencies, and integrate tasks with broader orchestration practices.
• Advanced proficiency in DBT Core, including project structure, model configuration, tests, and documentation, to build maintainable transformation layers.
• Skilled use of DBT macros to define reusable logic, parameterized transformations, and standardized patterns that reduce duplication and improve code consistency.
• Effective use of DBT Cloud, managing jobs, environments, execution policies, and collaboration features that support team-based development and deployment.
• Understanding of asset management operations processes, such as trade lifecycle, positions, valuations, and reporting, to shape data models aligned with domain needs.
• At least 8 years of data engineering or data platform experience, handling complex environments, coordinating with cross-functional teams, and resolving intricate operational issues.
• Ability to adapt to hybrid work arrangements, communicating clearly and maintaining reliable coordination across onsite and remote team members.

Key technical areas

• DBT: Models, macros, custom materialization; migration from other ETL tools to DBT.
• Snowflake: Fundamentals (tables, views, dynamic tables) and architecture; Streams, Tasks, Procedures; database change management; performance improvement.
• Other: Strong SQL, Python, GitHub.
• Nice to have: IDMC, PowerCenter, Teradata.

Languages

• English: fluent communication required.
• Spanish: B2