Data Engineer, AI & Automation

Soundome Group•Fort Lauderdale, FL

2d•Onsite

About The Position

Sound Income Strategies is seeking a hands-on individual contributor to modernize operational data infrastructure, reporting, and business workflows. Reporting directly to the Chief Technology Officer, this person will be the primary internal owner of backend data engineering and applied AI automation. The role combines Snowflake expertise, data analysis, and production software engineering to consolidate information from custodians, trading platforms, portfolio reporting systems, and other business sources. The successful candidate will learn how teams work, identify useful improvements, and independently build, deploy, and maintain reliable tools used in employees’ daily work. The position develops and maintains Snowflake data pipelines, integrations, and models; reconciles and validates information from multiple business systems; and builds backend services, internal tools, and automations. It also develops production AI functionality using Anthropic Claude and implements MCP integrations to approved tools and data sources, with appropriate permissions and human review. The role owns solutions from requirements and design through testing, deployment, documentation, adoption, and ongoing support. It monitors and improves data pipelines and AI workflows, safeguards sensitive client and financial data in collaboration with the CTO and Compliance, coordinates with internal teams and external partners, and communicates progress and risks to technical and nontechnical stakeholders. This is a full-time, onsite role at the Fort Lauderdale headquarters; remote candidates are not being considered.

Requirements

Bachelor’s degree or higher in Computer Science or a related technical discipline.
At least 3 years of software engineering experience in backend, data-intensive, or workflow automation systems, with demonstrated ability to independently build, deploy, and maintain production solutions.
Strong hands-on proficiency in Snowflake, SQL, and a backend programming language such as Python, including data modeling, APIs, and data pipelines.
Hands-on experience integrating Claude into production business applications, including document retrieval, text extraction, and document understanding.
Practical experience implementing MCP integrations and working with a managed model platform such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or a comparable service.
Demonstrated ownership of production LLM-powered functionality or agentic workflows, including output evaluation, failure handling, cost management, and appropriate human review.
Experience handling sensitive data in a regulated or high-trust environment, with strong analytical, troubleshooting, and data-quality skills.
Ability to translate operational needs into practical, maintainable tools, with strong communication, documentation, collaboration, and prioritization skills.
Ability to work onsite in Fort Lauderdale, Florida; remote candidates are not being considered.
Ability to work for extended periods at a desk using a computer.
Ability to lift up to 10 pounds if or when necessary.

Nice To Haves

Experience in financial services.
Familiarity with RIA operations, custodian data, trading systems, or portfolio reporting platforms.
Experience with cloud-based data aggregation platforms and vendor-supported application environments.
Ability to contribute across the application stack when a business solution requires it.

Responsibilities

Develop and maintain backend data pipelines, integrations, and data models in Snowflake.
Learn and work within the existing data aggregation architecture, integrating and reconciling data from custodians, trading platforms, portfolio reporting systems, and supplemental sources.
Analyze source data, investigate discrepancies, and implement validation, reconciliation, and data-quality checks.
Translate complex data into business outputs and work with internal stakeholders and front-end contributors to validate dashboards, reports, and application functionality.
Meet with Operations and other teams to understand manual processes, define requirements, and prioritize improvements with the CTO.
Build and deploy backend services, internal tools, and automations that improve operational efficiency and reduce repetitive work.
Develop production AI functionality using Anthropic Claude for document retrieval, text extraction, document understanding, and multi-step workflows.
Implement and maintain MCP integrations connecting AI applications to approved tools and data sources, with appropriate permissions and human review.
Use managed model platforms such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or comparable services for business applications.
Own solutions from requirements and design through testing, deployment, documentation, user adoption, and ongoing support.
Monitor data pipelines and AI workflows; troubleshoot failures; evaluate output accuracy; and improve reliability, performance, and operating costs.
Implement access controls, logging, and safeguards for sensitive client and financial data in collaboration with the CTO and Compliance.
Participate in vendor and platform implementation meetings, learn existing systems, and coordinate technical dependencies across internal teams and external partners.
Maintain technical documentation and user guidance, and communicate priorities, progress, risks, and results to technical and nontechnical stakeholders.