Senior Data Platform Engineer (AI/MCP)

Location: Remote - New Jersey, US

Company

SS&C provides AI-powered technology and services for financial services and healthcare organizations.

What you will do

• Design, build, and operate reusable platform capabilities for batch and streaming processing with Airflow, Spark, and Flink.
• Own the lakehouse layer across Iceberg, Nessie, Trino, and StarRocks, including catalog governance, query performance, partitioning, compaction, and retention.
• Build Kafka streaming infrastructure, ingestion and data harmonization frameworks, and platform-facing dashboards for data catalogs, job status, and data quality.
• Design secure, governed APIs and MCP interfaces that expose platform data, metadata, lineage, and orchestration capabilities to services and AI agents.
• Improve scalability, resilience, observability, disaster recovery, and production support practices across the platform.
• Establish testing, CI/CD, infrastructure-as-code, architecture review, and agentic software development practices while mentoring engineers.

Requirements

• Must be based in New Jersey, US, for this remote role.
• 8–12 years of software or data engineering experience building or operating large-scale data platform infrastructure.
• Hands-on experience with several of Apache Airflow, Iceberg, Spark, Flink, Kafka, Nessie, Trino, and StarRocks.
• Strong knowledge of lakehouse architecture, distributed systems, performance tuning, capacity planning, fault tolerance, and resilience.
• Experience designing governed, versioned, and secure APIs and building production observability with metrics, logging, tracing, and alerting.
• Practical experience using AI coding agents as a core development tool and direct experience or strong aptitude for MCP or similar agent-facing interfaces.

Nice to have

• Experience building internal developer platforms or self-service tooling.
• Experience with agent orchestration, tool-use frameworks, or guardrails for autonomous agent actions.
• UI or frontend development experience for platform dashboards.
• Background in financial services or another regulated, data-intensive industry.
• Open-source contributions to the Airflow, Iceberg, Spark, Flink, or Trino ecosystems.

Culture & Benefits

• Full-time individual-contributor role with deep technical ownership and mentoring responsibilities.
• Medical, dental, and vision coverage.
• 401(k) plan with company match.
• Paid time off, holidays, and parental leave.
• Professional development reimbursement opportunity.