Data Engineering Manager

Top Hat; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is searching for a Data Engineering Manager to lead a talented team in optimizing data capabilities. In this pivotal role, you will design and implement data models, manage data governance, and ensure efficient storage and querying of information. This position offers the chance to make a significant impact on the organization while fostering a culture of experimentation and collaboration. Join a forward-thinking team that values professional development and provides a flexible work environment, along with competitive benefits that start on day one.

Benefits

Flexible, remote-first work environment

Professional learning and development

Competitive health benefits

Innovative PTO policy

Welcoming office environment

Qualifications

• 2+ years of experience leading a data engineering team.
• 5+ years of experience with data modeling in an agile environment.
• Expertise in SQL and big data systems.

Responsibilities

• Lead a team of data engineers to develop cutting-edge data technology.
• Design data models for the data lake and warehouse.
• Develop and maintain data governance policies.

Skills

SQL

NoSQL

Data Modeling

ETL Tools

Big Data Systems (Hadoop, Spark)

Data Visualization Tools

Agile Practices

Data Governance

Education

Bachelor's Degree in Computer Science or related field

Tools

PostgreSQL

MongoDB

ERwin

AWS

Google Cloud Platform

Job description

Join to apply for the Data Engineering Manager role at Top Hat

We are seeking a highly competent, experienced, and hands-on Data Engineering Manager to lead our data engineering team. In this role, you will be crucial in designing, optimizing, and implementing conceptual and logical data models while managing a team of data engineers.

Your responsibilities will include analyzing requirements, designing database schemas, modeling data lake structures, implementing data migration strategies, driving data ownership policies, ensuring efficient and secure storage and querying of company information, and leading and mentoring a team of data engineers.

Proficiency in SQL and NoSQL is essential. Experience with data visualization tools is highly desirable. This is an exceptional opportunity to contribute to the development of our data capabilities and make a significant impact on our organization’s success, while also leading and developing a talented team.

Join us and be a key driver of our data-driven initiatives.

You Will

1. Lead and inspire a team of data engineers to develop cutting-edge data technology.
2. Modernize and mature business intelligence and internal data platform engineering capabilities.
3. Gather and analyze feedback from engineers to ensure alignment with their needs.
4. Collaborate with engineering managers to prioritize capabilities that enhance developer experience.
5. Analyze requirements and design data models for the data lake and warehouse.
6. Optimize and migrate existing database systems.
7. Improve system performance through testing, troubleshooting, and integration.
8. Develop and maintain data governance policies and a metadata management strategy.
9. Coordinate with Data Science and Revenue Operations teams to identify future needs.
10. Provide operational support for downstream business units.

You Are

1. 2+ years of experience leading a data engineering team.
2. 5+ years of experience with data modeling in an agile environment.
3. Proficient in multiple modeling techniques.
4. Aligned with a culture of experimentation and A/B testing.
5. Experience gathering and analyzing product requirements.
6. Expertise in SQL, ETL tools, big data systems like Hadoop, Spark, and dbt.
7. Experience creating ETL specifications to satisfy product requirements.
8. Experience testing data products.
9. Familiarity with ERwin data modeling tool.
10. Familiarity with database management systems like PostgreSQL, MongoDB.
11. Familiarity with data visualization tools.
12. Familiarity with agile practices and methodologies.
13. Possesses an experimentation mindset.

Nice To Have

1. Experience with Learning Management Systems (LMS) or other EdTech platforms.
2. Experience with AWS and/or Google Cloud Platform.
3. Experience with data security and compliance, including GDPR and CCPA.
4. Experience working with offshore data engineering teams.

Why Team Members Love Working At Top Hat

• A noble mission that creates meaningful, fulfilling work
• A team that cares deeply for customers and for each other
• Flexible, remote-first work environment
• Professional learning and development for all role levels
• An awesome and welcoming Toronto HQ
• Competitive health benefits that start on day one
• A management team focused on performance, growth, engagement and connection
• Our winning strategy and market potential
• Innovative PTO policy with lots of time and space for self-care
• Passionate customers that believe in us—and what we do
• A chance to work with new tech like generative AI—and see the customer impact

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development