1 day ago
Columbus, OH, USA +4 moreSenior
Base Salary
$54k - $206k/yr
Responsibilities
- Architect and maintain governed Snowflake AI Data Cloud environments, including compute optimization, warehouse sizing, and cost management.
- Design and implement Snowflake SQL and Snowpark Python ELT/ETL frameworks using Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion.
- Build reusable AI-ready data products with ownership, semantic context, data quality SLAs, and lineage tracking.
- Implement enterprise security controls including RBAC/ABAC, column- and row-level security, dynamic data masking, classification tags, and audit logging.
- Integrate Snowflake with source systems, dbt, Apache Airflow, governance tools, and downstream analytics consumers.
- Build multi-step agentic AI workflows using Snowflake Cortex Agents, Cortex AI Functions, Cortex Search, and Cortex Analyst.
- Develop production-grade RAG pipelines with vector search, semantic retrieval, and hybrid search over governed Snowflake datasets.
- Implement tool-use orchestration, prompt engineering, LLMOps evaluation frameworks, and agent integrations using MCP connectors and event-driven architectures.
- Define data modeling standards and maintain semantic data models for analytics, ML feature stores, AI consumption layers, Cortex Analyst, and BI tools.
Requirements
- At least three years of professional data engineering experience, including enterprise agentic AI or LLM-powered applications such as RAG pipelines, tool-use agents, and prompt engineering.
- At least three years of professional experience with Snowflake-native features including Snowpark Python, Dynamic Tables, Streams and Tasks, Snowpipe, the Cortex AI suite, and performance tuning.
- At least three years of Python experience for data engineering and ML workloads plus advanced SQL experience.
- Bachelor's degree or equivalent minimum 12 years of work experience; candidates with an associate degree must have at least six years of work experience.
- Preferred experience with data modeling methodologies, dbt, cloud platforms such as AWS, Azure, or GCP, data governance, security, and compliance frameworks.
- Preferred Snowflake SnowPro Advanced or Cortex AI practitioner credentials.
- Preferred experience with Snowflake Vector Search, Pinecone, Weaviate, embedding models, MLOps tooling, MCP, Apache Kafka, and Kinesis.
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related quantitative discipline is preferred.
- Strong problem-solving skills, attention to detail, and ability to work effectively in agile, cross-functional teams.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Hybrid work arrangement requiring three days per week in the office.
- Hiring locations are Dallas, TX; Houston, TX; Columbus, OH; Atlanta, GA; and Tampa, FL.
Tech Stack
Categories
AI ApplicationsData Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.