Hop

Associate Director, Engineering & Quality

Hop
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6 months ago
Monterrey, MexicoStaff+

Responsibilities

  • Architect, develop, test, and deploy robust data solutions and architecture diagrams.
  • Lead hands-on coding and testing for data engineering initiatives and ensure quality and reliability of deliverables.
  • Use Collibra and Starburst to support data governance, data mesh, data management, and integration.
  • Perform complex SQL queries and data analyses to support business decisions.
  • Design, implement, and test APIs and data solutions using Python.
  • Estimate project efforts, coordinate and prioritize multiple projects, and mentor contractors and junior team members.
  • Collaborate with cross-functional stakeholders, present project status and technical insights, and align solutions with business goals.
  • Work with AI/ML teams on LLM-powered applications, intelligent assistants, enterprise semantic search, and related data use cases.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 8+ years of hands-on experience in the data space, including demonstrated expertise in financial services.
  • Extensive experience with data lakes, data governance, data mesh, and data warehouses.
  • Advanced proficiency in SQL for data analysis and testing.
  • Demonstrated Python programming experience and expertise with APIs.
  • Proficiency with CI/CD pipelines, Agile methodologies, and project management tools such as Jira.
  • Familiarity with data solutions supporting AI/ML workloads, including MCP, knowledge graphs, and vector databases.
  • Preferred experience with Collibra Data Governance, Starburst Data Mesh, marketplace architecture for AI/ML workloads, LLM/RAG, semantic search, and NLP applications.
  • Strong project management, communication, presentation, mentoring, and cross-functional collaboration abilities.

Benefits

  • 40% in-office monthly work arrangement with flexibility.
  • Training, leadership development, and mentorship programs.
  • Retirement planning and tuition reimbursement programs.
  • Comprehensive healthcare offerings.
  • Global parental leave and family-friendly policies.
  • Inclusive workplace with Employee Resource Groups.
  • Paid volunteer days and matched donation funding.

Tech Stack

Categories

Data Engineering
Hop

About Hop

11-50 employees
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