Senior Data Architect/Engineer (GCP, SQL, Python)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Architect/Engineer (GCP, SQL, Python) in the United States.

In this role, you will lead the design and implementation of large-scale, enterprise-grade data platforms, helping organizations unlock the value of their data. You will work closely with business leaders, data engineers, analysts, and data scientists to define reference architectures, develop automated pipelines, and deliver actionable insights. The role involves end-to-end responsibility for data strategy, modeling, integration, and governance, while ensuring scalability, security, and reliability. You will contribute to high-impact projects across analytics, business intelligence, and data engineering initiatives. This position offers a hands-on environment where thought leadership, mentorship, and technical excellence are highly valued.

Accountabilities

• Assess existing data components, perform POCs, and provide consultative guidance to stakeholders.
• Design and implement end-to-end data solutions addressing business-specific problems, including data collection, integration, cleansing, enrichment, and visualization.
• Architect large-scale data platforms to support engineers, analysts, and data scientists.
• Define tools and technologies for automated data pipelines, ETL processes, dashboards, and reports.
• Ensure performance, reliability, reusability, scalability, security, privacy, and governance in all data architectures.
• Collaborate with cross-functional teams including data scientists and analysts to meet analytics and data requirements.
• Mentor junior team members and provide thought leadership within the data practice.

Requirements

• 15+ years of experience as a senior data architect or data engineer.
• Strong hands-on expertise in SQL, Python, GCP services (BigQuery, GCS, Cloud Functions, Composer), and dbt.
• Extensive experience with large-scale big data environments (100TB+).
• Proven ability in data modeling, database design, and conceptual/logical schema optimization.
• Expertise in building and maintaining data pipelines, ensuring efficiency, reliability, and security.
• Familiarity with modern data technologies, CI/CD practices, and API integration.
• Experience with data mining, segmentation, and visualization tools.
• Excellent problem-solving, analytical, and communication skills.
• Candidates will be required to complete technical assessments in SQL and Python.

Benefits

• Flexible work environment with remote-first options or hybrid arrangements.
• Exposure to a global team and international projects, promoting cross-cultural collaboration.
• Emphasis on employee well-being including fitness, mental health plans, and generous time off.
• Accelerated career growth opportunities through diverse projects, offerings, and industries.
• Competitive salary: $120,000 – $165,000 per year.
• Inclusive work culture fostering diversity, collaboration, and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!