Job Specifications
Position: Data Architect
Location : Markham
Mode of Work : Hybrid (3 days a week)
Role Overview :
Must have skills:
Data architecture
Snowflake
Data governance
Role Purpose:
The purpose of the Data Architect role is to:
Architect and implement advanced data solutions using Snowflake on AWS, ensuring scalable, secure, and high-performance data environments.
Migration of the existing Datawarehouse solution to Snowflake
Technology platform evaluations in the data and analytics space
Collaborate with cross-functional teams (data engineers, AI engineers, business, solution architects) to translate business requirements into technical solutions aligned with Client's data strategy.
Ensure data governance, security, and compliance within the Snowflake ecosystem, adhering to regulatory and organizational standards.
Experience and Capabilities :
Extensive experience (10+ years) in data architecture and engineering, with a proven track record in large-scale data transformation programs, ideally in insurance or financial services.
Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS.
Expertise in designing and orchestrating data acquisition pipelines using AWS Glue for ETL/ELT, Snowflake OpenFlow, and Apache Airflow for workflow automation, enabling seamless ingestion of data from diverse sources.
Proven experience in DBT to manage and automate complex data transformations within Snowflake, ensuring modular, testable, and version-controlled transformation logic.
Experience in implementing lake house solutions and Medallion architecture for financial or insurance carriers.
Skilled in optimizing and tuning Snowflake environments for performance, cost, and scalability, including query optimization and resource management.
Experience in architecting and leading migration of workloads from Cloudera to Snowflake.
Ability to design Streamlit apps and define new capabilities and data products leveraging Snowflake ML and LLOPS capabilities.
Experience in evaluating data technology platforms including data governance suites and data security products.
Exposure to enterprise Datawarehouse solutions like Cloudera, AWS Redshift, and Informatica toolsets - IDMC, PowerCenter, BDM.
Ability to develop robust data models and data pipelines to support data transformation, integrating multiple data sources and ensuring data quality and integrity.
Skilled in documenting architecture, data flows, and transformation logic to ensure transparency, maintainability, and knowledge sharing across teams.
Strong knowledge of data lifecycle management, data retention, data modeling, and working knowledge of cloud computing and modern development practices.
Experience with data governance, metadata management, and data quality frameworks (e.g., Collibra, Informatica).
Experience in policy/data conversion from legacy platforms to modern platforms.
Deep expertise in Snowflake (SnowPro Advanced Certification preferred), with hands-on experience delivering Snowflake as an enterprise capability.
Hands-on experience with AWS Glue for ETL/ELT, Apache Airflow for orchestration, and dbt for transformation (preferably deployed on AWS ECS).
Proficiency in SQL, data modelling, ETL/ELT processes, and scripting languages (Python/Java).
Familiarity with data mesh principles, data product delivery, and modern data warehousing paradigms.
About the Company
Welcome to Entellux Technologies - a premier staffing and training solutions provider for the US, Canada, Mexico, and LATAM. We specialize in head hunting, staffing augmentation, and talent acquisition for industries such as banking, pharma, manufacturing, insurance, retail, and more. Our expertise extends beyond staffing, offering specialized IT and behavioral skills training to equip professionals and organizations with the right competencies to thrive in a competitive market.
At Entellux, we are committed to connecting t...
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