Senior Associate – Data Platforms & Operations; Snowflake​/AWS

Senior Associate – Data Platforms & Operations (Snowflake/AWS) Country:
United States of America Your Journey Starts Here:

Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally.

Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.

An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You!

The Senior Associate – Data Platforms & Operations will play a key role in supporting the Director of Data Platforms and Data Operations across Santander’s Enterprise Data Warehouse (EDW) and Data Lake environments. This position is responsible for ensuring the stability, reliability, and performance of critical data platforms that serve as the backbone for enterprise analytics and business intelligence.

The ideal candidate will bring 8–10 years of experience in data operations, production support, and data integration within large-scale enterprise environments. The role requires a mix of technical expertise, operational excellence, and leadership capability to oversee a distributed team of contractors both onshore (U.S.) and offshore (India).

Operational Support

• Monitor and manage daily data batch processing for the Enterprise Data Warehouse (EDW) and Data Lake environments.
• Provide production support, troubleshoot incidents, and ensure timely resolution of issues.
• Perform root cause analysis and implement permanent fixes for recurring production incidents to reduce downtime.
• Execute pre-batch activities and validations for scheduled data loads and processing requests.
• Support production deployments, perform validation checks, and ensure smooth platform operations post-deployment.

Incident Management

• Identify, investigate, and resolve data quality issues across multiple data ingestion sources and pipelines.
• Apply data fixes and corrective actions to ensure data integrity and availability.
• Collaborate with development and QA teams to ensure consistent regression testing for all source system application changes.

Enhancements & Change Management

• Deliver small to medium enhancements requested by CIO and business teams to meet evolving reporting and data requirements.
• Handle change requests and ensure all updates adhere to established change control processes.
• Participate in operational readiness reviews and ensure seamless integration of changes into production.

Leadership & Collaboration

• Lead and manage a team of external contractors, ensuring productivity and quality across onshore and offshore teams.
• Act as a bridge between technical teams, business users, and leadership, ensuring effective communication and alignment of objectives.
• Mentor junior staff and promote best practices in production operations and incident management.

Enterprise Data Warehouse (EDW):

• Snowflake (primary data warehouse platform)
• Informatica IDMC Data Integration (ETL/ELT processes)

Data Lake:

• AWS Stack: S3, EMR Serverless, Athena

Orchestration:

• Control-M (job scheduling and orchestration)

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor’s degree or equivalent work experience:
  Computer Science Engineering or an equivalent discipline.
  
  - Required.
• 9+ years of experience in data operations, production support, or data engineering within enterprise-scale…