Senior Data Architect
2 weeks ago
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
.
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