Senior Director of Data Engineering at ALO

Beverly Hills, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Leadership, Data Pipelines, Data Infrastructure, Data Governance, Data Quality, Cloud Platforms, SQL, Python, Spark, Data Modeling, ETL Processes, Real-Time Processing, E-Commerce, Stakeholder Management, Computer Science, Engineering

Industry

Retail Apparel and Fashion

Description

WHY JOIN ALO? Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. We are seeking a visionary and hands-on Senior Director of Data Engineering to lead our data engineering strategy and execution. This role will be responsible for building and scaling a modern data platform that supports business intelligence, personalization, supply chain optimization, and AI/ML initiatives across the organization. RESPONSIBILITIES: Lead and mentor a high-performing team of data engineers and architects. Design and implement scalable, secure, and efficient data pipelines and infrastructure. Partner with business leaders, product managers, and data scientists to deliver data solutions that drive business impact. Oversee the development and maintenance of data lakes, data warehouses, and real-time streaming systems. Establish best practices for data governance, quality, and compliance (e.g., GDPR, CCPA). Evaluate and implement modern data tools and platforms (e.g., Snowflake, Databricks, Airflow, dbt). Drive innovation in data architecture to support personalization, predictive analytics, and AI/ML capabilities. Manage vendor relationships and ensure cost-effective use of third-party data services. QUALIFICATIONS: 12+ years of experience in data engineering or related fields, with at least 5 years in a leadership role. Proven experience building and scaling cloud-based data platforms (AWS, GCP, or Azure). Expertise in SQL, Python, Spark, and modern data stack tools. Strong understanding of data modeling, ETL/ELT processes, and real-time data processing. Experience supporting e-commerce, retail, or consumer brands is a plus. Excellent communication and stakeholder management skills. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. For CA residents, Job Applicant Privacy Policy HERE.

Responsibilities

Lead and mentor a high-performing team of data engineers and architects while designing and implementing scalable data pipelines and infrastructure. Partner with business leaders to deliver data solutions that drive business impact and oversee the development of data lakes and warehouses.