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About the Role
We are seeking a talented Sr. Data Engineer to join our new Data Platform product team. This strategic, high-impact role will involve building best-in-class infrastructure supporting data across the Eclipse and Data Platform, and will help shape the future of SS&C Eze products and services.
Responsibilities
- Design and ship LLM-powered product features end to end, including retrieval-augmented generation and multi-step agent workflows
- Build the evaluation harness before the feature — define what "good" means, measure it offline and in production, and catch regressions before clients do
- Own prompt and context engineering as an engineering discipline: versioned, tested, and iterated against data rather than intuition
- Build and tune retrieval infrastructure — chunking, embeddings, vector search, hybrid filtering — over structured and unstructured client data
- Make it production-grade: latency budgets, cost per request, caching, fallbacks, and guardrails for unsafe or low-confidence output
- Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data Marketplace
- Design and implement a data quality monitoring system, including source-to-target data validations and anomaly detection
- Collaborate closely with Engineering, Product Management, & IT, to inform product decision making with data and to identify opportunities for system improvements, including recommendations and innovation for Information architecture and insights that are valuable to our customers
- Collaborate with the Engineering, IT, and Security team(s) to meet data governance requirements
- Build dashboards to help Leadership monitor performance, availability, and user behavior of the platform
- Answer questions from the leadership team for reporting, publications, and industry reports
- Think creatively to find optimal solutions to our complex, often unstructured problems
Requirements
- Demonstrated experience shipping an LLM-backed feature to real users, and a clear account of how you measured its quality
- Working knowledge of retrieval: embeddings, vector stores, and why naive RAG usually underperforms
- Proficient in data modeling, analysis, and relational database design
- Skilled in processing and extracting value from large, disconnected datasets
- Experienced in designing and optimizing data pipelines and architectures
- Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.)
- Proficient in Machine Learning, NLP, or deep learning using Python
- Experienced in working with PySpark
- Experienced in ELT/ETL development and handling unstructured datasets
- Knowledgeable in data warehousing and multidimensional data models
- Experienced in rapid prototyping and fast solution delivery processes
- Skilled in working with large datasets to generate complex analytics for actionable insights
- Effective in collaborating across disciplines, departments, and segments
- Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms
- Proficient in ELT/ETL development
- Experienced in Machine Learning, NLP, or deep learning using Python
- Skilled in handling unstructured datasets
Skills
- LLM
- Retrieval-Augmented Generation
- Multi-step agent workflows
- Prompt engineering
- Context engineering
- Embeddings
- Vector search
- Hybrid filtering
- Data modeling
- Data analysis
- Relational database design
- Data pipelines
- Data architectures
- Python
- Web scraping
- External APIs
- Numpy
- Pandas
- Scikit-learn
- NLTK
- TensorFlow
- Matplotlib
- Machine Learning
- NLP
- Deep learning
- PySpark
- ETL
- ELT
- Unstructured datasets
- Data warehousing
- Multidimensional data models
- Rapid prototyping
- Analytics
- Collaboration
- Documentation
- Schemas
- Data dictionaries
- Transforms
Location
- San Francisco, CA
Work Type
- Hybrid
Experience Level
- Sr. Data Engineer
Salary/Compensations
- 120000 USD to 160000 USD
Benefits
- 401k Matching Program
- Professional Development Reimbursement
- Flexible Personal/Vacation Time Off
- Sick Leave
- Paid Holidays
- Medical
- Dental
- Vision
- Employee Assistance Program
- Parental Leave
- Discounts on fitness clubs
- Discounts on travel
About the Company
- 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.
Equal Opportunity
- SS&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.