Data Architect

1 week ago

Markham, Ontario, Canada TechDoQuest Full time $120,000 - $180,000 per year

Role Overview :

We are seeking a
Data Architect
with 8+ years of experience.

Must have skills:

  1. Data architecture
  2. Snowflake
  3. 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 (8+ 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 modeling
    ,
    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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