Arash Law is seeking a hands-on Data Engineer to own and scale our in-house data and analytics capabilities as we transition away from an external agency. This foundational role will build the modern data infrastructure and analytics layer that supports marketing performance, e-commerce insights, and broader business decision-making across our fast-growing DTC brand.
What You'll Do
- Own and operate our modern data stack, replacing external agency workflows with scalable in-house solutions.
- Build integrations to sync data from the warehouse back into production tools like Klaviyo.
- Build and maintain analytics-ready data models for marketing analytics, e-commerce performance, customer behavior, and financial reporting.
- Manage our DBT model and business logic for marketing tracking, business unit reporting, and attribution.
- Implement updates for new data sources, changes to existing ones, new integrations, and new analytical questions.
- Build new dashboards and edit existing ones in Looker, ensuring strong data visualizations.
- Develop reporting packages, scorecards, and dashboards in Looker for marketing performance, e-commerce metrics, customer lifecycle, and inventory operations.
- Partner closely with Marketing to enable deep, self-service marketing analytics.
- Design and maintain reliable ELT pipelines using Snowflake for core business systems.
- Build custom data pipelines to new data sources and maintain existing custom pipelines.
- Build and maintain dbt models to ensure a clean, well-documented, and scalable analytics layer.
- Translate business questions into data requirements and prioritized analytics deliverables.
- Analyze historical and current performance trends to identify optimization and growth opportunities.
- Support reverse-ETL use cases.
- Ensure data quality, testing, monitoring, and documentation best practices.
- Act as the primary in-house owner of analytics and reporting, reducing dependency on external partners.
- Collaborate with Engineering and Technology teams to evolve our data architecture as the business scales.
What We're Looking For
- 5+ years of experience in data engineering, analytics engineering, data analytics, or business intelligence.
- Strong SQL expertise.
- Experience with data programming languages such as Python or R.
- Hands-on experience building data models and transformations using dbt.
- Experience with cloud data warehouses, preferably Snowflake.
- Experience with ELT tools such as Fivetran or similar.
- Experience building LookML, views, and dashboards in Looker.
- Experience with reverse-ETL tools such as Census or similar.
- Strong understanding of marketing analytics and DTC metrics (CAC, ROAS, LTV, funnels, attribution, cohorts).
- Experience working with e-commerce platforms, marketing platforms, and customer data.
- Proven ability to define and own analytics and data solutions end-to-end.
- Strong analytical and problem-solving skills, with experience working on large datasets.
- Excellent communication skills and ability to translate data into insights for non-technical stakeholders.
- Comfortable operating in a fast-paced, high-growth environment with evolving priorities.
Technical Stack
- Snowflake
- dbt
- Looker
- Python
- R
- Fivetran
- Census
- Klaviyo
- Shopify
Team & Environment
You will work closely with Marketing, Finance, and Operations teams. You will also collaborate with Engineering and Technology teams.
Work Mode
This is a remote position.
