Sr. AWS Data Architect - Terraform - Remote

Location: Remote

Preferred Time Zones: EST, CST, MTN

Rate: DOE - W2

Length: 1 to 3 years

Manager Note: 

Top skills needed:

1. Hands-on Terraform. Build from scratch.

2. Scripts - Shell Unix python

3. Infrastructure experience deploying platforms

4. Data Processing platforms such as Databricks (or Snowflake)

5. Experience with data analytics in a cloud environment

Tip for success: Underneath the Skills section of your resume, put a Terraform section. Don't be shy; list everything you have ever done in Terraform. Terraform is such a major key to this opportunity.

Qualifications:

• Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advanced degree preferred
• 7 years of experience as an AWS Data Architect in designing and building large-scale solutions in an enterprise setting in both development and deployment
• 5 years in designing and building solutions in the cloud
• Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB, or analogous architectures
• Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures
• Expertise in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus
• Deep SQL expertise, data modeling, and experience with data governance in relational databases
• Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies
• Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
• Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus
• Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime, and reliability in mind
• Expertise in relational and dimensional data modeling
• UNIX admin and general server administration experience required
• Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus
• Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
• Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
• Experience with leveraging CI/CD pipelines
• Experience with Agile methodologies and ability to work in an Agile manner is preferred
• One or more cloud certifications

Responsibilities:

• Understand technology vision and strategic direction of business needs
• Understand our current data model and infrastructure, proactively identify gaps and areas for improvement, and prescribe architectural recommendations focusing on performance and accessibility.
• Partner across engineering teams to design, build, and support the next generation of our analytics systems.
• Partner with business and analytics teams to understand specific requirements for data systems to support the development and deployment of data workloads ranging from Tableau reports to ad hoc analyses.
• Own and develop architecture supporting translating analytical questions into effective reports that drive business action.
• Automate and optimize existing data processing workloads by recognizing data and technology usage patterns and implementing solutions.
• Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to ensure solutions demonstrate high-performance levels, privacy, security, scalability, and reliability upon deployment.
• Provide guidance to partners on the effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies.
• Design and build end-to-end automation to support and maintain software currency
• Create build automation services using Terraform, Python, and OS shell scripts.
• Develop validation and certification processes through automation tools
• Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
• Participate in developing solutions by incorporating cloud native and 3rd party vendor products
• Participate in research, perform POCs (proofs of concept) with emerging technologies, and adopt industry best practices in the data space to advance the cloud data platform.
• Develop data streaming, migration, and replication solutions
• Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic, and influencing skills to gain consensus and produce the best solutions.

Please Note:

Federal client - required to be a U.S. Citizen

NO 3^rd Party Candidates

NO 3^rd Party Vendors

NO Sponsorship