What are the responsibilities and job description for the Data Architect position at Kavaliro?
Overview
Job Description
We are seeking an experienced Data Engineer / Data Architect with strong expertise in Snowflake, AWS, and Talend to support data architecture and data acquisition efforts across projects currently in scope. This role will design, build, and optimize scalable data solutions while working closely with technical and business stakeholders.
This is a hybrid role based in Orlando, requiring a local candidate. The position is a contract through the end of the year, with the potential to extend or convert based on performance and business needs. Experience in a public sector or regulated environment is a strong plus.
Key Responsibilities
Job Requirements
Hybrid
Job Description
We are seeking an experienced Data Engineer / Data Architect with strong expertise in Snowflake, AWS, and Talend to support data architecture and data acquisition efforts across projects currently in scope. This role will design, build, and optimize scalable data solutions while working closely with technical and business stakeholders.
This is a hybrid role based in Orlando, requiring a local candidate. The position is a contract through the end of the year, with the potential to extend or convert based on performance and business needs. Experience in a public sector or regulated environment is a strong plus.
Key Responsibilities
- Design and support data architecture aligned to business, analytics, and operational needs
- Build, maintain, and optimize data pipelines using Talend for data acquisition and integration
- Implement and manage Snowflake data warehouse solutions, including data modeling, performance tuning, and cost optimization
- Leverage AWS services (e.g., S3, EC2, Lambda, Glue, IAM) to support scalable and secure data platforms
- Collaborate with application, analytics, and business teams to understand data requirements and deliver reliable solutions
- Ensure data quality, lineage, governance, and documentation across data pipelines and platforms
- Support ingestion of structured and semi-structured data from multiple source systems
- Apply best practices for security, compliance, and access controls within cloud and data environments
- Participate in architecture reviews and contribute to data standards and best practices
- Troubleshoot and resolve data pipeline, performance, and integration issues
- Proven experience as a Data Engineer and/or Data Architect
- Strong hands-on experience with Snowflake
- Experience building data integrations using Talend
- Solid experience working in AWS cloud environments
- AWS Certification required, such as:
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified Data Analytics – Specialty
- Snowflake Certification preferred, such as:
- SnowPro Core (preferred)
- SnowPro Advanced (preferred)
- Strong understanding of data warehousing concepts, ETL/ELT, and cloud data architectures
- Proficiency in SQL and data modeling
- Ability to work across teams and translate business requirements into technical solutions
- Must be local to the Orlando area and able to work in a hybrid on-site/remote schedule
- Experience in public sector or regulated environments (government, healthcare, utilities, financial services, etc.)
- Familiarity with data governance, compliance, and audit requirements
- Experience with CI/CD and Infrastructure as Code (Terraform or CloudFormation)
- Experience supporting enterprise-scale data platforms
Job Requirements
Hybrid