1 day ago
Remote, United StatesSenior
Base Salary
$120k - $150k/yr
Responsibilities
- Define scalable technical frameworks, governance standards, architectural patterns, and integration standards for AI, ML, data, feature, and retrieval systems.
- Translate business concepts, domain definitions, and complex technical concepts into architectural decisions and implementation guidance.
- Design and personally build end-to-end pipelines from ingestion through retrieval and grounding logic.
- Write orchestration code for AI workflows, including tool integration, state management, and failure handling.
- Define patterns for feature stores, model inputs and outputs, and AI service integration with enterprise data assets.
- Implement embedding, metadata-tagging, schema-versioning, data-quality, and lineage-capture code.
- Build data-quality and AI guardrails and enforce governance through code.
- Partner with Product, Technology, Research & Data Science, and Data Platform teams.
- Explain technical trade-offs to engineers and executive stakeholders.
Requirements
- At least 7 years of hands-on software or ML engineering experience.
- Familiarity with Databricks and MLflow.
- Strong coding ability in a modern data and machine learning stack.
- Experience writing feature pipelines and model-serving or integration code.
- Ability to translate ambiguous requirements into working prototypes quickly.
- Experience implementing schema versioning, data-quality checks, and lineage capture as code.
- Comfort with version control, code review, CI/CD, and testing practices for data and ML pipelines.
- Strong communication skills and ability to explain technical trade-offs to technical and executive audiences.
- Preferred: experience with AI-assisted development processes.
- Preferred: direct implementation experience building or integrating MCP servers, MCP clients, or other agent-to-tool protocols.
- Preferred: experience writing semantic-layer or metadata code consumed by other pipelines.
- Preferred: background building forecasting, optimization, or graph-analytics systems.
Benefits
- Remote position, indicated by the #LI-Remote designation.
- Base salary range of $120K-$150K per year.
- A discretionary incentive program may be provided in addition to medical and other benefits, dependent on full-time employment status.
Tech Stack
DatabricksMLflow
Categories
AI ApplicationsData Engineering
About Dynata
Dynata provides first-party survey data and an insights platform used by market researchers, advertisers, consultants, and enterprises to target audiences and measure outcomes. The privately held company, headquartered in Westport, Connecticut, was created from the merger of Research Now and Survey Sampling International and rebranded as Dynata in 2019, and says it serves more than 6,000 customers across North America, South America, Europe, and Asia-Pacific.