About
Technical Specialist 4 (TS4)/ Salesforce Developer Location:
Remote (Day 1 Onsite in Columbus, OH) Work Arrangement: This position is primarily remote; however, the selected candidate must report onsite on the first day at:
Columbus, Ohio 43215 Interviews will be conducted via Microsoft Teams. Position Overview: The TS4 will serve as a senior technical resource responsible for technical decisions related to enterprise data analytics environments, data platforms, data integrations, and architecture solutions. This role will collaborate closely with IT Architecture teams, Agency leadership, DBAs, Data Engineers, and BI professionals to design scalable and enterprise-aligned data solutions. Key Responsibilities: Design and maintain conceptual, logical, and physical data models supporting enterprise analytics and operational systems Establish data modeling standards, naming conventions, and architecture best practices Contribute to the Agency’s enterprise data architecture roadmap and modernization initiatives Design scalable and reusable data integration and storage solutions aligned with enterprise standards Lead technical discussions around data architecture, implementation, optimization, and ongoing maintenance Collaborate with enterprise teams to configure integrations with data lakes, data quality, and curation platforms Provide architectural guidance to ensure interoperability, governance, and reusability of enterprise data solutions Support data integration, data cleansing, data classification, and data modeling initiatives Work closely with cross-functional technical teams including Database Administrators, Data Engineers, and BI teams Required Skills & Experience: 5+ years of experience with Salesforce platforms 5+ years of experience with Microsoft environments including Azure and Dynamics Hands-on Salesforce development experience including: Apex Lightning Web Components (LWC) Salesforce Flow Validation Rules 5+ years of experience with Snowflake data platform 5+ years of experience with Tableau analytics integration Strong experience with: Data Integration Data Cleansing Data Classification Data Modeling Experience with technologies/platforms such as: StreamSets AWS S3 Microsoft SQL Server Enterprise Data Lakes
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.