Data Infrastructure Architect

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution.

By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation.

Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership.

You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards.

If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities) Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue, EMR, Lambda, and Step Functions.

Define data storage, transformation, and access patterns across S3, Redshift, Athena, RDS, and DynamoDB. Design event-driven and integration solutions using SNS, SQS, Kinesis, and APIs. Establish standards for data quality, observability, monitoring, logging, and failure recovery. Optimize data process