{"id":2172808,"url":"https://alion.io/job/ssc-technologies-senior-data-platform-engineer","title":"Senior Data Platform Engineer","company":{"id":6013,"name":"SS&C Technologies","domain":"ssctech.com","url":"https://alion.io/company/ssctech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0.286,"time_to_fill_p50_days":15,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","New York, United States","Columbia, United States","United States","Georgia"],"countries":["US","GE"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":311},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Flink","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Spark","optional":false},{"name":"StarRocks","optional":false},{"name":"Trino","optional":false},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-10-09T12:56:58Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T07:21:32Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.\nJob Description\nSenior Data Platform Engineer\nRole Summary\nWe are seeking a Senior Data Platform Engineer to help build, scale, and operate our bespoke enterprise data platform, the foundational infrastructure layer that ingestion, ontology, and business application teams build on top of. This is a hands-on, individual-contributor role for someone who wants deep technical ownership of platform internals rather than owning specific business data pipelines: our platform stack spans Airflow, Iceberg, Spark, Flink, Kafka, Nessie, Trino, and StarRocks, along with supporting UI components for platform users.\nYou will not own the business logic of individual data pipelines; those are owned by application and business teams. Instead, you will build and harden the core platform capabilities that make those pipelines possible: ingestion frameworks, data cleansing/harmonization utilities, storage and compute infrastructure, and the APIs and agentic (MCP) interfaces that let both humans and AI agents access and operate on platform data and capabilities. You'll also be expected to bring an agentic software development approach to your own work, using AI coding agents and tooling to meaningfully multiply your engineering throughput, not just as an experiment on the side.\nKey Responsibilities\nPlatform Capability Engineering\nDesign, build, and operate core platform capabilities on top of Airflow, Spark, and Flink for batch and streaming data processing, providing reusable frameworks that application/business teams use to build their own pipelines rather than building pipelines on their behalf.\nOwn the data lakehouse layer built on Iceberg, Nessie (catalog/versioning), Trino, and StarRocks, including table format management, catalog governance, query performance, and storage lifecycle (compaction, partitioning, retention).\nBuild and maintain Kafka-based streaming infrastructure (topics, schema management, connectors) that supports both platform-internal needs and consumption by downstream teams.\nDevelop reusable ingestion, cleansing, and harmonization frameworks/libraries that application teams can adopt to bring data onto the platform in a consistent, quality-controlled way, without the platform team owning each pipeline's business logic.\nBuild and maintain UI components that give platform users (engineers, analysts, business teams) visibility into platform state, data catalogs, job status, and data quality.\nAPI & Agentic (MCP) Enablement\nDesign and build APIs that expose platform data and capabilities (ingestion, querying, catalog metadata, job orchestration) to downstream teams and services in a well-governed, secure, and performant way.\nBuild and maintain MCP (Model Context Protocol) servers/interfaces that expose platform data, catalogs, and lineage to AI agents and LLM-based tools, enabling agentic consumption of platform capabilities.\nExtend agentic enablement beyond data access by building the tooling and guardrails that allow AI agents to safely operate parts of the platform itself (e.g., triggering pipeline runs, querying job status, remediation actions), with appropriate human-in-the-loop controls where needed.\nPartner with platform consumers (including the Ontology Platform team) to understand their API/agentic access needs and translate them into platform capability requirements.\nScalability & Resilience\nEnsure the platform scales reliably as data volume, source count, and consumer count grow, through capacity planning, performance tuning, and architectural evolution across the stack.\nDesign for resilience: fault tolerance, disaster recovery, data consistency guarantees, and graceful degradation across ingestion, storage, and compute layers.\nBuild and maintain observability (metrics, logging, tracing, alerting) across the platform stack to detect and diagnose issues before they impact downstream teams.\nDrive on-call/production support practices for the platform, including runbooks and incident response processes.\nEngineering Practice & Productivity\nAdopt and champion an agentic SDLC approach, using AI coding agents and related tooling as a core part of your own development workflow to substantially multiply engineering throughput (targeting materially higher output than traditional development approaches, not incremental gains).\nEstablish and evolve engineering best practices for the platform team: testing strategy, CI/CD, infrastructure-as-code, and code/architecture review standards suited to a bespoke, multi-technology data platform.\nMentor other engineers on platform internals and on effective use of agentic development tooling, even without formal management responsibility.\nRequired Qualifications\n8-12 years of software/data engineering experience, with significant hands-on experience building or operating large-scale data platform infrastructure (not primarily building individual application-level data pipelines).\nDeep, hands-on experience with at least several of: Apache Airflow, Apache Iceberg, Apache Spark, Apache Flink, Apache Kafka, Nessie, Trino, StarRocks, with the ability to reason confidently about the rest and ramp up quickly where needed.\nStrong understanding of lakehouse architecture: table formats, catalog management, query engines, and the trade-offs between batch and streaming processing.\nExperience designing and building APIs for platform capabilities, with an understanding of API governance, versioning, and security for multi-tenant platform consumers.\nDirect experience with, or strong interest and rapid aptitude for, building MCP servers or similar agent-facing interfaces that expose data/capabilities to AI agents and LLM-based tooling.\nPractical, hands-on experience using AI coding agents (e.g., Claude Code, GitHub Copilot, or similar) as a core part of your development workflow, with a track record of using them to meaningfully increase delivery speed and quality, not just occasional use.\nStrong systems engineering fundamentals: distributed systems, performance tuning, capacity planning, and building for fault tolerance and resilience at scale.\nExperience building and maintaining production observability (metrics, logging, tracing) for complex, multi-service data infrastructure.\nComfortable operating as an individual contributor with deep technical ownership, while also being able to mentor others and influence engineering practice without formal authority.\nPreferred Qualifications\nExperience building internal developer platforms or \"paved road\" tooling that other engineering teams adopt as self-service infrastructure.\nExperience building agent-facing tooling or infrastructure beyond MCP (e.g., tool-use frameworks, agent orchestration, guardrails for autonomous agent actions).\nFamiliarity with UI/front-end development sufficient to build or contribute to platform-facing dashboards and tooling (not a primary requirement, but a plus).\nExperience in financial services or another regulated, data-intensive industry, given the auditability and data-quality expectations typical of the domain.\nContributions to open-source projects in the Airflow/Iceberg/Spark/Flink/Trino ecosystem.\nUnless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.\nSS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.Applications will be accepted on an ongoing basis until the position is filled.\nSS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.","description_format":"text","description_chars":8554,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Events & Ticketing","Financial Services","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-10-09T12:56:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 118 · green card filings: 13","filings_12m":118,"filings_prev_12m":98,"green_card_filings_12m":13,"median_offered_wage_usd":132004,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":12}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":15,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/ssc-technologies-senior-data-platform-engineer","json_url":"https://alion.io/job/ssc-technologies-senior-data-platform-engineer.json","meta":{"generated_at":"2026-10-12T10:23:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15921,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6013},"rest":"https://alion.io/mcp/rest/get_company?id=6013"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fssc-technologies-senior-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fssc-technologies-senior-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fssc-technologies-senior-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ssc-technologies-senior-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fssc-technologies-senior-data-platform-engineer"}]}