Senior AI-First Data Engineer

Smartcat
Armenia, Georgia, Portugal, Serbia, Spain, New York, London, Lisbon, Costa Rica
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Mentorship","Collaboration","Technical leadership","Stakeholder alignment","Curiosity"]

Build an AI-native data foundation that turns business data into discoverable, actionable assets for analytics and AI agents. Evolve a greenfield cloud data platform from batch and on-prem architectures to near real-time, streaming-first systems. Improve reliability, governance, and performance while creating semantic layers and data products for self-service and agent-driven decision support. Lead technical excellence through mentorship, standards, and architecture leadership across data and analytics engineering teams.

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FursaFursa
Smartcat
Smartcat
1 month ago

Senior AI-First Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build an AI-native data foundation that turns business data into discoverable, actionable assets for analytics and AI agents. Evolve a greenfield cloud data platform from batch and on-prem architectures to near real-time, streaming-first systems. Improve reliability, governance, and performance while creating semantic layers and data products for self-service and agent-driven decision support. Lead technical excellence through mentorship, standards, and architecture leadership across data and analytics engineering teams.
Location: Armenia, Georgia, Portugal, Serbia, Spain, New York, London, Lisbon, Costa Rica
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Evolve the next-generation cloud data architecture into scalable AI-first, cloud-native systems.
  • •Lead the transition from batch pipelines to near real-time and streaming data infrastructure.
  • •Create AI-ready data products, semantic layers, and metadata/knowledge structures for analytics and AI agents.
  • •Use AI to accelerate development, testing, documentation, monitoring, and operational workflows.
  • •Improve BI accessibility and reduce time-to-insight across product, revenue, marketing, customer success, and finance teams, while raising engineering standards through mentorship and reviews.

Key Requirements

  • •6+ years in Data Engineering or Analytics Engineering, including designing and operating modern cloud data platforms.
  • •Experience transitioning from batch-oriented pipelines to near real-time/streaming data systems.
  • •Hands-on with Databricks, dbt, Airflow, Python, and SQL data modeling.
  • •Strong understanding of data warehousing architectures, data quality frameworks, and data governance practices.
  • •Ability to lead complex projects end-to-end and demonstrate an AI-first mindset, including using AI to improve engineering workflows.
Experience:SaaSCloud dataStreaming architecturesData governanceAI-first
Skills:MentorshipCollaborationTechnical leadershipStakeholder alignmentCuriosity
Languages:English
Tech Stack:DatabricksDbtAirflowPythonSQLData modelingData warehousingData quality frameworksData governanceData orchestrationStreaming architecturesEvent-driven systemsOmniCRMCustomer data platformsSemantic layersRAGVector databasesKnowledge graphs

Company Brief

Smartcat
Provides a cloud-based translation and localization platform that combines CAT tools, workflow automation, vendor marketplace, and payments to help enterprises manage multilingual content and scale translation operations efficiently.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: New York, United States
Founded: 2016
WebsiteLinkedIn