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Janie and Jack · 15 hours ago

Data Engineering Lead

United States

Full-time

Remote

Senior Level, Lead/Staff

5+ years exp

Janie and Jack is a company that brings style and quality to children's apparel and maternity wear. They are seeking a Data Engineering Lead to drive and develop their data platform and BI solutions, empowering business teams to make better decisions through robust data infrastructure and automated reporting.

ChildrenE-CommerceFashion

No H1B

Hiring Manager

Carolina Castañeda

Responsibilities

Architect, build, and maintain the core data infrastructure (Snowflake) and BI reporting (Strategy)

Translate business requirements into robust data products, dependable data pipelines and automated reporting to surface metrics

Collaborate with upstream and downstream technical teams develop integrations to provide a seamless flow of data into data platform

Implement observability, monitoring, data quality, and SLA enforcement for data availability for business consumption

Define and uphold engineering best practices for data modeling, lineage, warehouse architecture and data visualization

Provides and supports the implementation of business solutions applying data modeling, SQL and data warehousing skills, including hands-on implementation

Create and maintain documentation, best practices, and standards for data

Engage in technical discussions and decision-making processes, contributing to the company's strategic vision. Work on proof-of-concept and make recommendations on the technologies based on their merit

Explore new technology advancements in Data Engineering, Generative/Agentic AI and incorporate them into the BI solutions to create value

Lead and manage BI support team, partner with multiple SAAS vendors providing data services and solutions

Qualification

SnowflakeData EngineeringSQLAzureData WarehousingDimensional ModelingStrategic LeadershipRetail Domain KnowledgePythonMicroStrategyUnix ScriptingHive/SparkCommunication SkillsProblem-Solving SkillsCollaboration Skills

Required

5–7 years in data engineering, with hands-on experience in Snowflake and strong knowledge of the Retail domain, including Inventory Management, Customer 360, Martech, and Retail Analytics

Expert-level knowledge of dimensional modeling, Star and Snowflake schemas

Expert-level knowledge of the latest ELT tools and techniques

Deep understanding of cloud-based architectures including Snowflake and Azure

Fluency in building scalable and complex data pipelines between numerous source and target systems

Experience with Azure cloud, Snowflake, SQL, Hive/Spark, Unix scripting, Python, and MicroStrategy

Working knowledge of the Salesforce ecosystem (Commerce Cloud, Marketing Cloud, Order Management, POS, and Data Cloud) and Retail ERP systems (Oracle RMS, Microsoft D365)

Strong analytical and problem-solving abilities for troubleshooting and optimizing data processes

Excellent communication skills to work effectively with technical and non-technical stakeholders

Ability to drive long-term technical vision while remaining deeply engaged in hands-on execution