Senior Data Architect (AI/Data Modernization)

VTRAC Consulting Corporation (WBE); Porto Alegre; Teletrabalho; BRL 100.000 - 130.000; Tempo integral

Resumo da oferta

A leading company is seeking a Senior Data Architect to shape their core data architecture and strategy. This role involves driving the modernization of the data platform, enabling advanced AI capabilities, and collaborating with cross-functional teams. Ideal candidates should have extensive experience with cloud-native data solutions and strong leadership skills.

Qualificações

• 10+ years of experience designing and implementing enterprise-scale data platforms.
• Proven expertise with cloud-based data services, preferably AWS.

Responsabilidades

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

Conhecimentos

Leadership

Collaboration

Data Governance

Formação académica

University degree in Computer Science

Ferramentas

PostgreSQL

Snowflake

Kafka

Airflow

dbt

Descrição da oferta de emprego

Senior Data Architect (AI/Data Modernization)

VTRAC Consulting Corporation (WBE)

Application deadline: 14/05/2025

VTRAC Consulting Corporation
Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please email your resume as an MS-WORD document in confidence to the provided contact details.

Subject: Senior Data Architect (AI/Data Modernization)

Attention: [Recipient]

Contact: 647-598-1900

Position #: 251157

Position: Senior Data Architect (AI/Data Modernization)

Position Type: Contract

No. of Positions: 1

Location: Remote

Job 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 role 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.
• 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 our website. VTRAC is an equal-opportunity employer with offices in Toronto, Houston, New York, and Palo Alto.