We are looking for a hands-on and visionary Data Engineering Lead to spearhead the design, development, and scaling of our data infrastructure within the MarTech and Growth sectors. The ideal candidate will have a background in e-commerce, IT, or data companies, and possess experience in technical coaching and execution, enabling the team to create impactful data solutions while collaborating across domains to enhance our Customer Data Platform (CDP), campaign automation, and growth optimization strategies.

The Role

As the Tech Lead, you will engage in the design and implementation of data pipelines, modeling strategies, and integration solutions. You will collaborate closely with the MarTech Engineering Manager and Product Owner, aligning technical decisions with business objectives through interaction with cross-functional stakeholders.

Responsibilities

• Provide technical leadership in the design, construction, and maintenance of scalable data pipelines.
• Own architectural decisions for the data infrastructure supporting our CDP and marketing data stack, ensuring scalability, quality, and performance.
• Collaborate with the MarTech Engineering Manager and Product Owner to define the technical roadmap, contribute to backlog refinement, and ensure timely product delivery.
• Convert business objectives (e.g., audience targeting, personalization, attribution) into scalable data solutions and architecture.
• Mentor and upskill team members through code reviews, architecture sessions, and knowledge sharing.
• Establish and uphold technical standards and best practices regarding data modeling, orchestration, CI/CD, observability, and performance.
• Collaborate with ML, Gen AI, and Data teams to integrate real-time personalization, behavioral targeting, and predictive analytics.

Core Technologies

• Databricks (Spark, ML, Delta Lake)
• Apache Airflow (ETL orchestration)
• AWS Data Stack – S3, Redshift, Glue, Lambda, Step Functions, Athena
• DBT (Modeling and transformation)
• SQL and Python (Advanced scripting and analytics)
• Dimensional & Star Schema modeling

Nice-to-Have Additional Tools & Platforms

• Customer Data Platform (CDP): Zeotap or similar CDP
• Streaming & Messaging: Kafka, Kinesis, EventBridge
• BI & Visualization: Looker, Tableau, or equivalent
• Monitoring & Testing: DataDog, Great Expectations
• CI/CD & Infra as Code: Terraform, GitHub Actions, CloudFormation
• Security & Privacy: PII handling, GDPR/CCPA compliance, data contracts

Requirements

• 7+ years of experience in data engineering, with a minimum of 2 years in a technical team lead or staff engineer role.
• Proven experience managing data architecture from ingestion to modeling and serving.
• Familiarity with MarTech, Growth, CRM domains, or adtech ecosystems is a significant advantage.
• Strong collaboration skills; adept at working with multiple teams and stakeholders, including Engineering Managers, Product Owners, and Data leadership.
• A passion for creating impactful systems that enhance marketing performance and customer engagement.

What We Offer

• Be the technical leader shaping the future of growth marketing and customer intelligence.
• Work at the intersection of marketing, growth, and data with a direct impact on user experience and revenue.
• Collaborate across functions to deliver smarter, faster marketing capabilities.
• Operate in a modern, cloud-native data environment with a talented and motivated team.
• Enjoy autonomy, ownership, and a supportive environment for growth and innovation.