About this Data Architect role at Weekday AI
This role is for one of the Weekday's clients
Experience: 10–15 Years
Location: Remote
Shift: US Eastern Time
JobType: full-time
We are looking for an experienced Data Architect with a strong background in the Retail domain to join our growing data engineering team. The ideal candidate will act as a trusted extension of our internal technical team, taking ownership of multiple concurrent projects while collaborating closely with business and IT stakeholders. This is a hands-on technical leadership role requiring expertise in modern data platforms, strong analytical skills, and the ability to drive project execution from requirements through delivery.
Requirements
Key Responsibilities
- Collaborate closely with internal technical teams to deliver multiple data initiatives simultaneously.
- Design, develop, and optimize scalable data solutions using Python, Snowflake, and SQL.
- Review and maintain high-quality code developed by offshore engineering teams.
- Lead technical discussions and translate business requirements into scalable technical solutions.
- Work directly with Business and IT stakeholders to gather, refine, and validate requirements.
- Build data solutions independently whenever rapid execution is required.
- Monitor project progress, identify risks proactively, and communicate updates to leadership.
- Ensure project deliverables meet quality, performance, and timeline expectations.
- Provide technical guidance and mentor team members to achieve successful project outcomes.
Required Skills
- 10–15 years of experience in Data Engineering, Data Architecture, or Data Analytics.
- Strong hands-on experience with Python.
- Strong expertise in Snowflake.
- Advanced SQL skills with experience writing and optimizing complex queries.
- Working knowledge of Looker.
- Experience designing scalable data pipelines and data warehouse solutions.
- Strong analytical and problem-solving abilities.
Preferred Experience
- Prior experience in the Retail domain.
- Experience translating business needs into technical solutions.
- Experience leading technical teams and reviewing code.
- Exposure to cloud-based data platforms and modern analytics ecosystems.
- Strong stakeholder management and communication skills.
Soft Skills
- Excellent leadership and ownership mindset.
- Strong communication and presentation skills.
- Ability to work independently with minimal supervision.
- Proactive risk identification and issue resolution.
- Ability to collaborate effectively with cross-functional and global teams.
Must-have skills
Python, Snowflake, SQL
Good-to-have skills
Looker, data warehousing, Data pipeline