Senior Data Architect / Data Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

As a Senior Data Architect / Data Engineer, you will be responsible for leading data architecture efforts, supporting large-scale migration projects, and ensuring that complex data environments are transformed into reliable, scalable solutions.

• Design and guide data architecture strategies for a major transformation initiative involving multiple legacy systems.
• Analyze complex and inconsistent source data structures and determine effective approaches for consolidation, mapping, and transformation.
• Develop unified or semi-unified data models that balance standardization, flexibility, and long-term maintainability.
• Make architectural decisions around canonical models, data relationships, schemas, and source-specific variations.
• Write and deliver scripts supporting data migration, transformation, validation, and data cleanup activities.
• Identify data quality issues, structural gaps, and inconsistencies while implementing practical solutions.
• Collaborate with technical and business teams to understand existing systems and define future-state requirements.
• Establish data engineering standards, patterns, and best practices to support future initiatives.
• Provide technical leadership, guidance, and mentorship to junior and mid-level data professionals.
• Support cloud-based data environments and contribute to scalable, maintainable solutions.

Requirements:

The ideal candidate is an experienced data professional with strong architecture expertise, hands-on engineering capabilities, and the ability to bring clarity to complex data challenges.

• 8+ years of experience in data engineering, data architecture, or a related discipline.
• Proven experience designing data architectures and models within complex enterprise environments.
• Strong background with legacy systems, large-scale data migration, and transformation initiatives.
• Advanced understanding of relational data modeling, schemas, normalization, mappings, and data structures.
• Ability to evaluate when a canonical data model is beneficial versus when a flexible approach is more appropriate.
• Strong SQL skills with experience developing scripts for migration, transformation, and validation.
• Experience working with Google Cloud Platform (GCP) and cloud-based data solutions.
• Ability to combine high-level architectural thinking with hands-on technical delivery.
• Strong analytical and problem-solving skills with the ability to organize complex or unclear data environments.
• Experience mentoring engineers and supporting technical team growth.
• Familiarity with Git-based development workflows; GitLab experience is a plus.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field preferred.
• Ability to work in the United States without current or future sponsorship requirements.

Benefits:

• Competitive compensation based on experience, qualifications, and location.
• Fully remote work opportunity for qualified candidates.
• Flexible working hours, generally aligned with business needs during standard EST hours.
• Opportunity to work on complex, high-impact data transformation initiatives.
• Collaborative environment with experienced engineers and technology professionals.
• Opportunities to mentor teammates and influence technical best practices.
• Exposure to challenging enterprise-level systems and modern cloud technologies.
• Potential background check requirements due to security-conscious client engagements.