Are you an experienced Cloud Big Data Expert looking to make a significant impact in a dynamic and mission-driven environment? Do you have a passion for AWS and data lake technologies? Join our remote team and play a pivotal role in supporting cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS).
As an AWS Big Data Architect, you will be at the forefront of architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Your expertise will be crucial in driving advanced data solutions and ensuring high performance, security, and compliance.
Why You Should Join Us:

• Impactful Work: Contribute to critical cloud initiatives that support environmental data and satellite services, making a real difference.
• Innovative Environment: Work with cutting-edge technologies and stay updated with the latest trends in cloud computing, big data, and data engineering.
• Collaborative Team: Collaborate with data scientists, analysts, and cross-functional teams to deliver high-quality solutions.
• Remote Flexibility: Enjoy the flexibility of working remotely while being part of a supportive and dynamic team.

Key Responsibilities:

• Design and implement scalable and efficient data pipelines using AWS and Data Lakehouse Platform services.
• Leverage AWS services (S3, Kinesis, Redshift, EMR, Glue, Lambda, etc.) and Apache Spark for advanced data processing and analytics.
• Develop and maintain data lakes and data warehouses, ensuring data integrity and accessibility.
• Optimize data storage and processing for performance and cost efficiency.
• Automate data workflows and ensure high data quality and reliability.
• Monitor, troubleshoot, and resolve data pipeline issues.
• Implement data governance practices and ensure high standards of data quality.
• Provide ongoing support for the platform, ensuring high availability and reliability.
• Create documentation and train team members on platform infrastructure and processes.

Qualifications:

• 5 years of experience in big data analytics, data engineering, or related roles.
• Expertise in designing, building, and maintaining data warehouses and understanding data modeling, data warehousing, and data lake concepts.
• Proficiency in programming languages (Python, Java, Scala) and scripting languages (Bash, PowerShell).
• Hands-on experience with big data technologies (Apache Hadoop, Spark, Kafka, etc.).
• Extensive experience with AWS services (S3, Glue, Redshift, EMR, Athena, etc.).
• Strong SQL skills and experience with relational databases.
• Experience in building and optimizing big data pipelines, architectures, and data sets.
• Familiarity with ETL tools and data integration techniques.
• Excellent communication and team collaboration skills.
• Must be able to obtain a security clearance.

Education:

• BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field.

If you're ready to take your career to the next level and work on meaningful projects in a cutting-edge field, apply now to join our team as an AWS Big Data Architect!