Lead Data Engineer

We seek an experienced Data Engineering Lead to join our cross-functional product team and enhance our data infrastructure capabilities. This role is pivotal in supporting advanced analytics and AI-driven solutions at Superside.

Superside is at the intersection of creative services, technology, and product development. This unique position offers us the opportunity to shape data architectures that support both our internal operations and the development of external data products, driving new market ventures.

Reporting to the Head of Data and Analytics, you will collaborate closely with analytics engineers, data engineers, developers, and operational teams to define and implement our data strategy and infrastructure.

What you'll do

• Construct and maintain scalable, robust data pipelines that underpin analytics and machine learning applications, focusing on efficiency and data quality.
• Oversee the ingestion, storage, and processing of extensive datasets, ensuring consistency and accessibility to support advanced data strategies.
• Enhance data operations using leading technologies such as Snowflake, Airbyte, and Airflow to enhance cost-effectiveness and operational efficiency. Previous experience with Dagster, Prefect, or similar is also beneficial. 
• Partner with analytics engineering and product teams to understand data requirements and craft technical solutions that drive strong data usability and access across the company.
• Provide technical guidance and career development mentorship to the data team, promoting best practices in data management and adherence to data governance standards.
• Stay up-to-date with the latest trends in data technology and continuously introduce enhancements to our data systems and practices.

What you’ll need to succeed

• Skilled in ETL processes, data modeling, and metadata management, with a good grasp of IaC principles and proficient use of technologies like Terraform for infrastructure management.
• Experienced with CI/CD processes and cloud platforms, particularly AWS.
• Proficient with Python and SQL, understand software engineering principles, and have a good grasp of distributed job/query optimization—think execution plans, partitioning, and auto-scaling. Any backend experience is a benefit.
• Experienced in developing junior data talent, mentoring junior engineers, and effectively steering projects to align with business goals while seeking growth opportunities.
• Deep familiarity with modern data architectures, including data lakes, data warehouses, and real-time data processing systems.
• Ability to write and review technical documentation, ensuring clarity and accuracy.
• Excellent English communication skills and ability to convey complex technical concepts to diverse stakeholders, ensuring clarity and fostering collaborative problem-solving.
• A trusting, resourceful, ego-free, and kind team player personality.
• Skilled at operating in a global, remote-first environment, demonstrating a proactive and self-directed work culture.
• Bias for action, proactive, customer-centric, and execution-driven mindset.

About Superside
Superside is a revolutionary way for businesses to get good design done at scale. Trusted by 450+ ambitious companies, Superside makes design hassle-free for marketing and creative teams. By combining the top 1% of creative talent from around the world with purpose-built technology and the rigor of design ops, Superside helps ambitious brands grow faster. Since inception, Superside has been a fully remote company, with more than 700 team members working across 57 countries and 13 timezones.
Learn more at superside.com
Diversity, Equity and Inclusion
We’re an equal opportunity company. All applicants will be considered regardless of ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.