Senior AI Data Engineer

BMC
Lisbon
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Technical leadership","Stakeholder management","Mentoring","Execution focus"]

Design the reference architecture and delivery patterns for governed data, then build AI data products—especially a natural-language Data Agent that helps business users query trusted data without SQL. Co-design the semantic layer (HoneyDew/DBT) so AI and analytics share governed business meaning. Lead design reviews, mentor engineers, translate business needs into technical requirements, and take features end-to-end to production, using Python, SQL, Snowflake, DBT, and LLM/agentic tooling.

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FursaFursa
BMC
BMC
2 days ago

Senior AI Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design the reference architecture and delivery patterns for governed data, then build AI data products—especially a natural-language Data Agent that helps business users query trusted data without SQL. Co-design the semantic layer (HoneyDew/DBT) so AI and analytics share governed business meaning. Lead design reviews, mentor engineers, translate business needs into technical requirements, and take features end-to-end to production, using Python, SQL, Snowflake, DBT, and LLM/agentic tooling.
Location: Lisbon
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design reference architecture and delivery patterns for governed data from semantic layer to dashboards, applications, and AI agents.
  • •Architect and build an AI Data Agent with orchestration, tool/function calling, retrieval, evaluation, and guardrails.
  • •Co-design the semantic layer (HoneyDew/DBT) to define governed metrics and business meaning for both analytics and AI.
  • •Serve as technical lead and advisor: set patterns, run design reviews, and mentor engineers through production delivery.
  • •Translate ambiguous business problems into clear technical requirements and drive end-to-end execution even with evolving scope.
Travel: Low travel

Key Requirements

  • •8+ years across data architecture and hands-on engineering in production enterprise systems.
  • •Strong proficiency in Python and SQL, with hands-on experience designing and building on Snowflake and DBT.
  • •Experience designing and building LLM/agentic solutions (e.g., RAG, function/tool calling, orchestration) with evaluation/observability.
  • •Deep understanding of the semantic layer as the bridge between source data and business meaning for trustworthy AI.
  • •Ability to translate complex technical concepts for non-technical stakeholders and influence architecture decisions across teams.
Experience:8+ yearsEnterpriseData architecture
Skills:CommunicationTechnical leadershipStakeholder managementMentoringExecution focus
Tech Stack:PythonSQLSnowflakeDBTHoneyDewLLMsRAGFunction/tool callingOrchestrationLangChainLlamaIndexLangGraphPrompt engineeringEvaluationObservabilityAWSAzureGCPVector databasesEmbeddings

Company Brief

BMC
Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Houston, United States
Founded: 1980
WebsiteLinkedIn