Data Architect

VDart Inc; Markham; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

VDart Inc is seeking a Data Architect in Markham, Ontario for a hybrid role. You will architect advanced data solutions with Snowflake on AWS, design data pipelines, and drive cloud-based data transformation programs for insurance or financial services domains.

Responsibilities include implementing ETL/ELT patterns, orchestrating with Airflow, and enabling data governance and quality across heterogeneous sources. Hybrid model requires Tue/Wed in office, with flexibility Mon/Thu/Fri.

Qualifications

• Minimum 8 years of experience in data architecture and engineering.
• Proven track record with Snowflake on AWS in large-scale data transformations.
• Experience with data governance, data quality and data security practices.

Responsibilities

• Design and implement scalable data solutions using Snowflake on AWS.
• Architect data pipelines and orchestrate with Airflow and dbt.
• Lead migration of workloads from Cloudera to Snowflake and optimize performance.

Skills

Snowflake on AWS

Data architecture

ETL/ELT

Airflow

dbt

AWS Glue

Data modeling

Snowflake knowledge

Cloudera migration

Data governance

Data pipelines

Data quality

SQL

Education

Bachelor's degree in a relevant field

Tools

AWS

Snowflake

ETL tools

Job description

Role Data Architect

Location: Markham, Ontario, Canada(Hybrid)

Contract

Skills

Mandatory Skills: Data Architecture

Good to Have Skills: Data Architecture

Working model

Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri

Primary Skills:

• Architect and implement advanced data solutions using Snowflake on AWS ensuring scalable secure and high performance data environments
• Extensive experience 8 years in data architecture and engineering with a proven track record in largescale data transformation programs ideally in insurance or financial services
• Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS
• Expertise in design and orchestrating data acquisition pipelines using AWS Glue for ETLELT Snowflake Open Flow and Apache Airflow for workflow automation enabling seamless ingestion of different data from diverse sources
• Deep expertise in Snowflake with hands-on experience delivering Snowflake as an enterprise capability
• Hands-on experience with AWS Glue for ETLELT Apache Airflow for orchestration and dbt for transformation preferably deployed on AWS ECS
• Proficiency in SQL data modelling ETLELT processes
• Proven experience in DBT to manage and automate complex data transformations within Snowflake ensuring modular testable and version controlled transformation logic
• Experience in implementing the lake house solution Medallion architecture for financial or insurance carriers
• Experience in optimizing and tune Snowflake environments for performance cost and scalability including query optimization and resource management
• Experience in architecting lead migration of workloads from Cloudera to Snowflake
• Experience in evaluating the data technology platform including data governance suites data security products
• Develop robust data models and data pipelines to support data transformation integrating multiple data sources and ensuring data quality and integrity
• Document architecture data flows and transformation logic to ensure transparency maintainability and knowledge sharing across teams
• Strong knowledge of data lifecycle mgmt. data retention data modelling and working knowledge of cloud computing and modern development practices

Secondary Skills:

• Familiarity with data mesh principles data product delivery and modern data warehousing paradigms
• Experience in Designing Streamlit apps and define new capabilities and data products leveraging snowflake ML and MLOPS capabilities
• SnowPro advanced certification preferred
• Knowledge of scripting languages Python Java
• Experience with data governance metadata management and data quality frameworks e.g. Collibra Informatica
• Experience in Insurance Domain
• Experience in converting policy data conversion from legacy to modern platform
• Exposure to enterprise Data warehouse solution like Cloudera AWS Redshift and informatica tool sets IDMC power center BDM