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Senior Data Architect (AI/Data Modernization)

VTRAC Consulting Corporation (WBE)

Brasil

Teletrabalho

USD 80.000 - 120.000

Tempo integral

Há 11 dias

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Resumo da oferta

An exciting opportunity awaits for a Senior Data Architect to lead the transformation of data architecture in a remote setting. This role involves shaping the technical direction of the company’s core data strategy, ensuring scalability and security while driving innovation. You will collaborate cross-functionally with engineering and product teams to deliver high-performance data solutions in a cloud-native environment. If you have a passion for data modernization and AI capabilities, this position offers the chance to make a significant impact in a forward-thinking organization that values creativity and technical leadership.

Qualificações

  • 10+ years of experience in enterprise-scale data platforms.
  • Proven expertise in PostgreSQL and Snowflake.
  • Strong leadership and collaboration skills.

Responsabilidades

  • Develop and optimize APIs and message bus integrations.
  • Lead modernization of a cloud-native data platform.
  • Build robust ETL/ELT pipelines for data.

Conhecimentos

PostgreSQL
Snowflake
Kafka
Kinesis
Pinecone
Airflow
dbt
Data Governance
Cloud Services (AWS)
Leadership

Formação académica

University degree in Computer Science

Ferramentas

Airflow
Flink
Spark Structured Streaming

Descrição da oferta de emprego

Senior Data Architect (AI/Data Modernization)

2 weeks ago Be among the first 25 applicants

Direct message the job poster from VTRAC Consulting Corporation (WBE)

Recruitment Consultant at VTRAC Consulting Corporation

VTRAC Consulting Corporation

Thank you for applying to VTRAC opportunities. Please email your resume as an MS-WORD document in confidence with the subject: Senior Data Architect (AI/Data Modernization). Send to: lucasr@vtrac.com 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 role involves hands-on leadership 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 opportunities, visit www.vtrac.com. VTRAC is an equal-opportunity employer.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology, Project Management, and Engineering
Industries
  • Business Consulting and Services, IT Services and IT Consulting, Data Infrastructure and Analytics

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