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AWS Data Architect
EXLAWS Data Architect responsible for designing, implementing and maintaining data architecture solutions. Working with AWS services to align with business goals in an international sports league.
Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $160,000 per yearWebsite
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSCloudETLJenkinsKafkaPySparkPythonSQLTerraform
About the role
Key responsibilities & impact- Develop and maintain a comprehensive data architecture and cloud strategy that aligns with the organization's goals and needs.
- Design, implement, and manage cloud-based data infrastructure on AWS, ensuring scalability, reliability, and cost-efficiency.
- Utilize AWS services (S3, Glue, EMR, Redshift, Lambda, Kinesis, MWAA, etc.) to build and optimize data pipelines and storage solutions.
- Champion the use of data lakehouse architecture and optimize its performance for analytical and operational workloads.
- Identify the gaps and opportunities in the current system and suggest/implement to optimise the processes and costs.
- Lead and guide data engineering teams to develop, maintain, and optimize ETL processes for data ingestion, transformation, and loading.
- Implement real-time data processing solutions using technologies such as Apache Kafka and AWS Kinesis.
- Collaborate with data scientists, business stakeholders and analysts to ensure data availability and quality, enabling effective analytics and reporting.
- Leverage DBT for data modelling and transformation to support self-service analytics and data governance.
- Architect and implement data integration solutions for API ingestion, enabling data from diverse sources to be captured, transformed, and ingested into our data lakehouse.
- Utilize Airbyte and custom APIs to ensure efficient, reliable, and secure data transfers.
- Manage data integration pipelines to support real-time and batch data processing.
- Design, configure, and maintain workflow orchestration using Apache Airflow to automate ETL processes and data pipeline executions.
- Monitor and optimize job scheduling, error handling, and performance of data workflows.
- Implement data security protocols, access controls, and encryption to safeguard sensitive data, especially PIIs.
- Ensure compliance with data privacy regulations and industry standards.
- Collaborate with cross-functional teams to understand data requirements and provide data solutions to meet their needs.
- Maintain comprehensive documentation for data engineering and data architecture processes and solutions.
- Guide the team in setting up cloud Infra and automate using tools like terraform, cloud formation, Jenkins etc
- Guide the operations team in setting up automated monitoring & alerts mechanism
Requirements
What you’ll need- Bachelor's or higher degree in a relevant field.
- 6+ years of proven experience in data engineering, cloud architecture, and AWS services.
- Extensive knowledge of data lakehouse technologies, Hudi, DBT, Airbyte, Redshift, Glue, Kinesis and Apache Airflow.
- Strong expertise in programming languages like SQL, Python and processing frameworks like PySpark
- Strong expertise in real-time data processing.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Passion for Sports/Gaming/Entertainment is preferred
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. AWS Data Architect 🔥 4 minutes ago 🇺🇸 United States – Remote 💵 $130k - $160k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow Amazon Redshift Apache AWS Cloud ETL Jenkins Kafka PySpark Python SQL Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Develop and maintain a comprehensive data architecture and cloud strategy that aligns with the organization's goals and needs.
- Design, implement, and manage cloud-based data infrastructure on AWS, ensuring scalability, reliability, and cost-efficiency.
- Utilize AWS services (S3, Glue, EMR, Redshift, Lambda, Kinesis, MWAA, etc.) to build and optimize data pipelines and storage solutions.
- Champion the use of data lakehouse architecture and optimize its performance for analytical and operational workloads.
- Identify the gaps and opportunities in the current system and suggest/implement to optimise the processes and costs.
- Lead and guide data engineering teams to develop, maintain, and optimize ETL processes for data ingestion, transformation, and loading.
- Implement real-time data processing solutions using technologies such as Apache Kafka and AWS Kinesis.
- Collaborate with data scientists, business stakeholders and analysts to ensure data availability and quality, enabling effective analytics and reporting.
- Leverage DBT for data modelling and transformation to support self-service analytics and data governance.
- Architect and implement data integration solutions for API ingestion, enabling data from diverse sources to be captured, transformed, and ingested into our data lakehouse.
- Utilize Airbyte and custom APIs to ensure efficient, reliable, and secure data transfers.
- Manage data integration pipelines to support real-time and batch data processing.
- Design, configure, and maintain workflow orchestration using Apache Airflow to automate ETL processes and data pipeline executions.
- Monitor and optimize job scheduling, error handling, and performance of data workflows.
- Implement data security protocols, access controls, and encryption to safeguard sensitive data, especially PIIs.
- Ensure compliance with data privacy regulations and industry standards.
- Collaborate with cross-functional teams to understand data requirements and provide data solutions to meet their needs.
- Maintain comprehensive documentation for data engineering and data architecture processes and solutions.
- Guide the team in setting up cloud Infra and automate using tools like terraform, cloud formation, Jenkins etc
- Guide the operations team in setting up automated monitoring & alerts mechanism 🎯 Requirements
- Bachelor's or higher degree in a relevant field.
- 6+ years of proven experience in data engineering, cloud architecture, and AWS services.
- Extensive knowledge of data lakehouse technologies, Hudi, DBT, Airbyte, Redshift, Glue, Kinesis and Apache Airflow.
- Strong expertise in programming languages like SQL, Python and processing frameworks like PySpark
- Strong expertise in real-time data processing.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Passion for Sports/Gaming/Entertainment is preferred Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Manager, Enterprise Data Platform 🔥 1 hour ago Zscaler 5001 - 10000 🔒 Cybersecurity ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Senior Manager driving architecture and evolution of enterprise data platform at Zscaler. Leading teams to implement AI-ready strategies and self-service analytics within US remote environment. 🇺🇸 United States – Remote 💵 $196k - $245k / year 💰 Secondary Market on 2017-11 ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Cloud ETL Python SQL Senior DataOps Engineer 🔥 1 hour ago EverOps 51 - 200 🤝 B2B 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Senior DataOps Engineer managing Azure SQL environments at EverOps. Focused on automation and operational efficiency in data operations. 🇺🇸 United States – Remote 💰 Pre Seed Round on 2022-02 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure ETL Python SQL SSIS Data Engineer III 🔥 5 hours ago Rightway 201 - 500 ⚕️ Healthcare Insurance ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings Data Engineer III at Rightway defining and deploying mission-critical data infrastructure for healthcare insights. Leveraging AWS and AI tooling for data pipelines and operations. 🇺🇸 United States – Remote 💵 $125k - $150k / year 💰 $100M Series C on 2021-03 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Airflow Amazon Redshift Apache AWS Postgres Python SQL Senior Data Science Engineer I, Spines 🕒 3 days ago Turquoise Health 51 - 200 ☁️ SaaS 🤝 B2B 📋 Compliance Website LinkedIn All Job Openings Senior Data Science Engineer responsible for developing data models and analytics for healthcare finance. Joining a remote team to enhance their data infrastructure. 🇺🇸 United States – Remote 💵 $170k - $190k / year 💰 $30M Series B - Turquoise Health on 2024-01 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow Amazon Redshift Cloud ETL Python SQL Data Engineer 🕒 3 days ago Skimmer 11 - 50 ☁️ SaaS 🤝 B2B ⚡ Productivity Website LinkedIn All Job Openings Data Engineer building and maintaining data models and reports that power Skimmer product. Collaborating across teams to create reliable and performant reporting experiences. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Cloud ETL Python SQL .NET View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
SQLPythonPySparkApache AirflowDBTAWS GlueAWS KinesisAWS RedshiftApache KafkaData Integration
Soft Skills
Problem-SolvingAnalytical SkillsCommunicationTeamwork