Lead Data Engineer

Lead Data Engineer
Company:

Superside


Details of the offer

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.
\n What you'll doConstruct and maintain scalable, robust data pipelines that underpin analytics and machine learning applications, focusing on efficiency and data qualityOversee the ingestion, storage, and processing of extensive datasets, ensuring consistency and accessibility to support advanced data strategiesEnhance data operations using leading technologies such as Snowflake, Airbyte, and Airflow to enhance cost-effectiveness and operational efficiencyPartner with analytics engineering and product teams to understand data requirements and craft technical solutions that drive strong data usability and access across the companyProvide technical guidance and career development mentorship to the data team, promoting best practices in data management and adherence to data governance standardsStay 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 succeedSkilled in ETL processes, data modeling, and metadata management, with a good grasp of IaC principles and proficient use of technologies like Terraform for infrastructure managementExperienced with CI/CD processes and cloud platforms, particularly AWSProficient with Python and SQL, understand software engineering principles with a good grasp of distributed job/query optimization (execution plans, partitioning, and auto-scaling)Preferably some experience with Dagster, Prefect, or similarDeep familiarity with modern data architectures, including data lakes, data warehouses, and real-time data processing systemsAbility to write and review technical documentation, ensuring clarity and accuracyExperienced in developing junior data talent, mentoring junior engineers, and effectively steering projects to align with business goals while seeking growth opportunitiesExcellent English communication skills with the ability to convey complex technical concepts to diverse stakeholders and fostering collaborative problem-solvingA trusting, resourceful, ego-free, and kind team player personalitySkills in operating in a global, remote-first environment, demonstrating a proactive and self-directed work culture
\n 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.


Source: Grabsjobs_Co

Requirements

Lead Data Engineer
Company:

Superside


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