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:
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 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 Postgre SQL 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 Postgre SQL, 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 . VTRAC is an equal-opportunity employer.
Toronto. Houston. New York. Palo Alto.