Data Infrastructure Architect
About The Position
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.
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."
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Nice To Haves
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
