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Open nowFirst seen 5 days ago

AWS Snowflake Architect (Hybrid, Markham, Ontario)

HR POD - Hiring Talent Globally47 open roles

Where
Markham, ON, Canada
Work mode
Hybrid
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Your applicationOpen nowAWS Snowflake Architect (Hybrid, Markham, Ontario)HR POD - Hiring Talent Globally · Markham, ON, Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HR POD - Hiring Talent Globally's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HR POD - Hiring Talent Globally postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

HR POD - Hiring Talent Globally median: 1 days open

The posting

Requirements:

  • 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
  • Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms.
  • Hands-on experience with AWS cloud services and designing scalable, cloud-based data solutions.
  • Strong experience with AWS Glue, Apache Airflow, and dbt for data integration and transformation.
  • Expertise in data modeling, ETL/ELT architecture, data pipelines, and data integration patterns.
  • Strong proficiency in SQL and Python for data processing and automation.
  • Experience designing secure, scalable, and high-performance data architectures.
  • Experience within the insurance domain is preferred.

Responsibilities:

  • Design and implement scalable enterprise data architectures using Snowflake and AWS.
  • Develop architectures for data ingestion, transformation, integration, and consumption across enterprise systems.
  • Design and optimize ETL/ELT pipelines using AWS Glue, Apache Airflow, dbt, and related technologies.
  • Define data models, architecture standards, integration patterns, and technical best practices.
  • Optimize Snowflake environments for performance, scalability, security, and cost efficiency.
  • Collaborate with engineering, analytics, and business teams to translate data requirements into effective technical solutions.
  • Provide technical leadership and guidance to data engineering teams throughout the implementation process.
  • Ensure data solutions meet enterprise standards for security, governance, reliability, and performance.
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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on HR POD - Hiring Talent Globally's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

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The numbers game

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