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Tech Stack
Tools & technologiesAWSCloudETLGoogle Cloud PlatformJavaScriptPythonRubySQL
About the role
Key responsibilities & impact- Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
- Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.
- Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
- Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
- Build guardrails, fallbacks and error recovery for non-deterministic workflows.
- Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns.
- Build evaluation into every pipeline to ensure high quality results considering precision, answer faithfulness, latency and cost.
- Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system.
- Implement data enrichment, quality checks, and architectural safeguards to maintain trusted datasets.
- Production observability: prompt/response tracing, cost monitoring, eval dashboards.
- Document agent behavior, decision logic and failure modes.
- A/B testing agent versions, model comparisons.
- Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.
- Apply data governance practices for lineage, security, and retention.
- Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Requirements
What you’ll need- 2-5 years of experience in integration, automation, AI, software or data engineering, with 1+ year hands-on in Workato.
- Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
- Proficiency in designing and implementing integrations across Salesforce, NetSuite, Slack, and Snowflake.
- Hands-on technical background in ETL/ELT, Reverse-ETL, data modeling, SQL/T-SQL, and programming (Python, Ruby, or similar).
- Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector.
- Experience with AI/ML concepts and implementing AI workflows in enterprise environments.
- Hands-on experience leveraging APIs and programming languages to build and maintain scalable enterprise integrations.
- Experience with Cloud Platforms such as GCP or AWS preferred.
- Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
- Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
- Proficiency with Snowflake, Salesforce, and NetSuite, with strong architectural and automation design skills preferred.
- Motivated to learn new technologies and develop new skills.
- Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
- Workato Automation Pro or SnowPro certifications preferred.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Flexible work hours
- Paid time off
- Wellness programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
WorkatoETLELTSQLPythonRubydata modelingAPIsvector databasesAI workflows
Soft Skills
problem-solvingcritical thinkingability to execute under minimal supervisionmotivation to learn new technologiesinnovation in automationsystem reliability
Certifications
Workato Automation ProSnowPro