Data Architect

Job Description

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