Sequoia Connect Logo

Sequoia Connect

Data Infrastructure Architect

Posted 3 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Atlanta, GA
Expert/Leader
In-Office or Remote
Hiring Remotely in Atlanta, GA
Expert/Leader
Design and implement scalable batch and near-real-time data pipelines and storage on AWS. Define data architecture, ensure observability, optimize performance, lead production troubleshooting and migrations, enforce CI/CD and deployment best practices, and collaborate with stakeholders and platform teams to align solutions with business needs.
The summary above was generated by AI
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: https://www.sequoia-connect.com/careers/

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.

Similar Jobs

3 Days Ago
Remote
United States
Expert/Leader
Expert/Leader
Information Technology • Consulting
Design and implement scalable batch and near-real-time data pipelines and storage across AWS. Define event-driven integrations, ensure data quality and observability, optimize performance, lead production troubleshooting and migrations, review designs and CI/CD practices, and collaborate with architects and stakeholders to align solutions to business needs.
Top Skills: Amazon AthenaAmazon DynamodbAmazon EmrAmazon KinesisAmazon RdsAmazon RedshiftAmazon S3Amazon SnsAmazon SqsAPIsAws BatchAws CloudtrailAws CloudwatchAws GlueAws LambdaAws Step FunctionsEcsElastic BeanstalkEtl FrameworksGitlabPysparkPythonSQLTerraform
56 Minutes Ago
Remote or Hybrid
US
100K-160K Annually
Senior level
100K-160K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.
Top Skills: AIData CatalogsData Governance ToolsData LineageMetadata ManagementSQL
56 Minutes Ago
Remote or Hybrid
United States
Senior level
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead full-cycle technical recruiting for Engineering and technical roles: partner with hiring leaders, own sourcing and pipeline development, advise on market and compensation, manage candidate experience through offer and onboarding, use ATS and recruiting metrics, improve hiring processes, and mentor other recruiters.
Top Skills: Ai ToolsAshby

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account