Data Architect

Job Description Overview 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 Required Qualifications 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 Preferred Qualifications 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 Equal Employment Opportunity Statement Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative. #J-18808-Ljbffr