Senior Data Architect / Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Architect / Data Engineer based in the United States.

This role offers the opportunity to lead a complex enterprise data transformation initiative from both an architectural and hands-on engineering perspective. You will design scalable data models, guide migration strategies, and bring structure to complex legacy environments. The position requires a balance of strategic thinking and technical execution, with ownership of critical data architecture decisions. You will work across multiple systems, helping define future-state data structures while improving quality, consistency, and maintainability. This is an ideal opportunity for an experienced data professional who enjoys solving ambiguous problems and creating long-term solutions. You will collaborate with technical and business stakeholders while mentoring other engineers and shaping best practices. The role is fully remote for the right candidate and provides exposure to meaningful, high-impact technology initiatives.

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1