<p dir="ltr">We are Happy Socks, an innovative fashion company that specializes in designing and producing unique, high-quality fashion items. We sell directly to consumers through our online and physical channels, as well as wholesale to a range of partners. We leverage technology to drive business insights and operational efficiency. At Happy Socks, we are hard at work creating our new Data Platform! We are now looking to add a permanent Analytics Engineer to lead our growing data engineering team. This role will oversee the completion of the initial project, shape our overall data strategy, and guide data modeling and transformation initiatives. Our data team plays a crucial role in shaping our data-driven culture and enabling decision-making across the organization.</p><p dir="ltr">Role Overview:</p><p dir="ltr">We are looking for a strategic Analytics Engineer to lead our data engineering initiatives and team. In this role, you will oversee the design, implementation, and maintenance of scalable data pipelines and infrastructure including project managing the outcomes of 1-2 data engineers. A key aspect of this role is the ability to quickly build comprehensive mental models of all the data we have, translate business requirements into technical specifications, and guide your team in implementing solutions. You will work closely with analytics specialists, analysts, and other engineers to ensure clean, reliable, and well-structured data is available for business decision-making. You will also lead the planning, design, and architecture of the data foundations project, resulting in a comprehensive roadmap for our Data Platform.</p><p dir="ltr">Key Responsibilities:</p><ul><li>Architect and oversee the operational health of data pipelines and systems, establishing monitoring frameworks and quality standards.</li><li>Project managing the outcomes of a small team of data engineers, providing technical guidance and ensuring best practices in implementation.</li><li>Drive data quality initiatives and establish governance frameworks throughout all stages of data processing.</li><li>Guide the design and implementation of scalable data pipelines to support ELT/ETL processes and data warehousing, working with various data sources and ingestion/transformation tools.</li><li>Partner with analytics specialists, analysts, and other teams to translate business requirements into technical specifications.</li><li>Oversee the maintenance and evolution of our Data Warehouse architecture.</li><li>Define data modeling and transformation frameworks aligned with business processes, ensuring proper implementation by the team.</li><li>Establish standards for serving data in downstream applications like reports or dashboards.</li><li>Drive the implementation of best practices for versatility, reliability, ease of maintenance of the data platform as well as data governance, security, and compliance. Guide the optimization of data storage solutions, focusing on performance, cost, and scalability.</li></ul><p dir="ltr">Requirements:</p><ul><li>Strong technical background with hands-on experience in data engineering, capable of providing technical leadership and mentoring.</li><li>Proven ability to translate complex business requirements into technical specifications. Experience project managing technical teams and managing deliverables.</li><li>Strong communication skills with the ability to bridge technical and business stakeholders.</li><li>Strong knowledge of SQL and familiarity with programming languages (e.g., Python).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and understanding of data pipeline tools (e.g., Airflow, Fivetran).</li><li>Familiarity with data transformation tools like DBT.</li><li>Strong knowledge of data storage technologies such as Snowflake, relational databases, NoSQL, or data lakes.</li><li>Ability to guide troubleshooting of data-related issues and optimize data flows.</li></ul><p dir="ltr">Nice to Have:</p><p dir="ltr">Knowledge of GDPR regulations and experience in data privacy frameworks. Experience with data visualization and reporting tools like Sigma. Understanding of machine learning workflows and supporting data requirements. Previous experience in retail or e-commerce domains.</p><p dir="ltr">Most importantly, you have the personality to fit a somewhat crazy, fun work environment where we believe in color and playfulness, a place where you can expect the unexpected and you are a source of creative weirdness.</p><p></p> •
Last updated on Feb 13, 2025