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Data Platform Engineer Jobs in Florida (NOW HIRING)

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... The Platform Engineer will leverage their strong technical background and knowledge to develop and ...

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... The Platform Engineer will leverage their strong technical background and knowledge to develop and ...

The Platform Hosting & Engineering role specializes in the development, implementation, and support ... Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource ...

The Platform Hosting & Engineering role specializes in the development, implementation, and support ... Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

Lead Data Engineer

Lakeland, FL

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

Platform Engineer System design and scaling (CAP, Distributed Caches, CQRS, etc.) Java programming ... Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable ...

Insurance Platform Engineer

Sarasota, FL · On-site +1

$125K - $150K/yr

This ecosystem includes a massive climate data infrastructure, scalable product development ... We're looking for an Insurance Platform Engineer to join us at Arbol, supporting the Lilypad tech ...

This ecosystem includes a massive climate data infrastructure, scalable product development ... We're looking for an Insurance Platform Engineer to join us at Arbol, supporting the Lilypad tech ...

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Showing results 1-20

Data Platform Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data platform engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data platform engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Florida? The most popular types of Data Platform Engineer jobs in Florida are:
What are popular job titles related to Data Platform Engineer jobs in Florida? For Data Platform Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Florida look for? The top searched job categories for Data Platform Engineer jobs in Florida are:
What cities in Florida are hiring for Data Platform Engineer jobs? Cities in Florida with the most Data Platform Engineer job openings:

Senior AI Platform Engineer

Blue Prism Group

Jacksonville, FL

$96K - $133K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Senior AI Platform Engineer

Locations: San Francisco, CA / Jacksonville, FL / Boston, MA / New York, NY (Hybrid)

SS&C Advent's financial solutions are going Agentic! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe.

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform.

We are looking for Senior AI Platform Engineers to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
  • Your Future: 401 (k) Matching Program, Professional Development Reimbursement
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
  • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Discounts on fitness clubs, travel, and more!

What You Will Get to Do

  • Design and build a scalable Agentic AI framework on top of our data platform.
  • Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
  • Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
  • Build APIs, SDKs, and tooling to enable other teams to use the framework.
  • Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
  • Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
  • Mentor other engineers and contribute to AI engineering best practices.

What You Will Bring

Core Skills (Must-Have)

  • Strong programming skills in Python with 5+ years of experience
  • Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).
  • Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).
  • Hands-on experience with API design & integration (REST, GraphQL, gRPC).
  • Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).
  • Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
  • Track record of building production-grade AI/data platforms.

Desired Skills (Nice-to-Have)

  • Experience in Information Security.
  • Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).
  • Familiarity with event-driven architectures (Kafka, Pulsar).
  • Understanding of retrieval-augmented generation (RAG) patterns.
  • Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).
  • Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).
  • Experience in enterprise AI governance (audit, lineage, compliance).
  • Contributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website.