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Senior Data Architect (AI / Data Modernization)

Senior Data Architect (AI / Data Modernization)

VTRAC Consulting Corporation (WBE)Belo Horizonte, BR
Há 8 dias
Descrição da vaga

VTRAC Consulting Corporation

Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence Subject : Senior Data Architect (AI / Data Modernization), Attention : [email protected] or call : 647-598-1900

Position # : 251157

Position : Senior Data Architect (AI / Data Modernization)

Position Type : Contract

No. of Positions : 1

Location : Remote

Description :

An exciting opportunity to shape the technical direction of the company’s core data architecture and strategy, ensuring scalability, security, and innovation. You will work cross-functionally with engineering, product, and data teams to deliver high-performance data solutions in a cloud-native environment. This is a hands-on leadership opportunity ideal for a Lead Data Architect to drive the modernization of the data platform, enabling advanced AI and LLM capabilities, including intelligent assistants, agents, and autonomous AI actors.

Key Responsibilities :

  • Develop and optimize APIs and message bus integrations across applications and services.
  • Lead the modernization and scalability of a mission-critical cloud-native data platform.
  • Architect and implement real-time and batch processing strategies using PostgreSQL and Snowflake.
  • Enable data-driven AI capabilities by supporting LLMs and vector databases.
  • Define and enforce data governance, security policies, and architectural best practices.
  • Collaborate with engineering and intelligence teams to ensure seamless data integrations.
  • Build robust ETL / ELT pipelines for both structured and unstructured data.
  • Support initiatives for next-gen AI / ML platforms through scalable, flexible architecture.
  • Provide technical leadership and mentorship to data engineering teams.

Qualifications :

  • 10+ years of experience designing and implementing enterprise-scale data platforms.
  • Proven expertise with PostgreSQL, Snowflake, and cloud-based data services (preferably AWS).
  • Deep understanding of streaming platforms such as Kafka, Kinesis, or Pulsar.
  • Hands-on experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
  • Proficiency in data orchestration tools like Airflow, Dagster, or Prefect.
  • Experience with modern data transformation frameworks (e.g., dbt, Flink, Spark Structured Streaming).
  • Familiarity with data mesh, lakehouse architecture, and semantic modeling.
  • Strong leadership and cross-functional collaboration skills.
  • Demonstrated experience defining architecture roadmaps and implementing architecture review processes.
  • University degree in Computer Science, Data Engineering, or a related field.
  • We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com . VTRAC is an equal-opportunity employer.

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