United States
1 month ago

Job Overview

Job Type
Full Time
Pay
Not disclosed

Job description

Location:
United States
Work arrangement:
On-site

Role Summary

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 processing, storage, and query performance across AWS platforms.

Lead troubleshooting of production issues and drive root cause analysis and corrective actions.

Support cloud migration, data migration, and modernization initiatives.

Review solution designs, code quality, and production readiness across projects.

Collaborate with architects, platform teams, and business stakeholders to align technical solutions with business needs.

Drive best practices for CI/CD, deployment automation, and documentation.

Your Profile (Requirements)

Degree holders for the visa application process.

12+ years of software development experience with a solid IT background.

Experience as an application developer for projects similar in scope and responsibility.

Advanced knowledge of AWS services and architecture.

Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.

Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.

Strong understanding of enterprise data architecture, migration, and support models.

Experience with GitLab and Terraform and release/deployment practices.

High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.

Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

Experience with Kinesis, ECS, Batch, Beanstalk, and DynamoDB.

Exposure to infrastructure-as-code and reusable platform patterns.

Have a good understanding of performance engineering of code pipelines and near real-time systems.

Good understanding of Agents and MCP.

Familiarity with cloud-native foundations or AI coding assistants.

Languages

Advanced Oral English: For seamless collaboration with global teams.

Advanced Spanish.

Special Notes

None specified.

  • Work Arrangement
  • We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page :

Requirements

  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Advanced knowledge of AWS services and architecture.
  • Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.
  • Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.
  • Strong understanding of enterprise data architecture, migration, and support models.
  • Experience with GitLab and Terraform and release/deployment practices.
Role:
Data Infrastructure Architect
Job Type:
Full Time

Company profile

Sequoia Connect

sequoia-connect.com

Sequoia Connect is an IT services company that provides IT headhunting, IT consulting and IT advisory services focused on digital transformation. It connects technology specialists with global companies, from multinational corporations to agile startups, and offers tailored IT solutions to help clients grow their businesses. Founded in 2017, the company says it serves 700+ clients in 50+ countries. Its stated vision is to be a strategic IT partner that delivers value for clients, employees, partners and shareholders, with a win-win culture for its staff.

Company Size
10 - 50 employees
Founded
2017

More jobs at Sequoia Connect

Similar Data-Infrastructure-Architect jobs at other companies