Data Architect for Advanced Analytics

2 weeks ago

Toronto, Ontario, Canada Rewind Software Full time
About the Role

We are seeking a highly skilled Data Architect to join our team as a Senior Analytics Engineer. This is an exciting opportunity to work with a talented group of individuals who share your passion for data-driven insights.

Job Description

The Senior Analytics Engineer will be responsible for managing data at Rewind, taking a leadership role in designing and maintaining robust data models, ensuring data accessibility, and fostering collaboration with stakeholders to deliver impactful data-driven insights.

As a Senior Analytics Engineer, you will play a crucial role in advancing our self-service data product, ensuring data parity between systems, understanding business needs, and translating them into valuable features and capabilities.

Responsibilities
  • Data Modeling and Transformation:
    • Design, build, and maintain advanced data models utilizing SQL, dbt, and BigQuery to support comprehensive data analytics and reporting requirements.
    • Develop resilient fact and dimension tables and data marts, transforming raw data into structured datasets to ensure integrity and efficiency.
    • Enhance the self-service data product, improving user-friendliness, and empowering teams to independently retrieve data.
  • Tech Stack Expertise:
    • Utilize expert SQL knowledge to optimize data queries and enhance overall performance.
    • Extensive Salesforce and/or Hubspot experience through Reverse ETL tooling (Hightouch).
    • Navigate complex data sources, including Stripe, Intercom, and Shopify.
  • Collaboration and Communication:
    • Serve as the primary point of contact for key data models, offering guidance and support to analysts and team members.
    • Ensure the GTM teams at Rewind have the data needed to drive strategic and actionable insights.
    • Engage with cross-functional teams (e.g. Product, Finance, Marketing) to comprehend their data needs and translate them into actionable features.
    • Provide mentorship and coaching to junior team members, define and delegate work, and collaborate with cross-functional stakeholders.
  • Data Governance and Quality Assurance:
    • Ensure adherence to best practices, data governance standards, and optimal database structures and schemas.
    • Develop and execute comprehensive data validation and testing procedures to ensure the accuracy and reliability of data outputs.
    • Meticulously document the data sources, models, and pipeline with best practices in mind and ensure no barriers to this information.
  • Stakeholder Education and Training:
    • Educate stakeholders on data best practices, usage guidelines, and the significance of maintaining data confidence.
Requirements
  • At least 3 years of experience in data transformation using dbt and working with CRM (e.g. Salesforce, HubSpot).
  • Expert knowledge of SQL and proficiency in cloud data warehousing (e.g., BigQuery, Snowflake, Databricks).
  • Solid understanding of database structures, schemas, and data modelling techniques.
  • Familiarity with Modern Data Stack tools (e.g., Fivetran, dbt, Hightouch, Census).
  • Experience with BI tools like Metabase for data visualization and reporting.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to mentor and coach junior team members.
  • Familiarity with data governance principles and data quality assurance.
  • Experience working in the SaaS industry.
What We Offer
  • A competitive salary: $120,000 - $160,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • A dynamic and inclusive work environment that values diversity, equity, and inclusion.
  • Ongoing training and professional development opportunities to help you grow in your career.
  • A chance to work with a talented team of professionals who are passionate about data-driven insights.

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