United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Architect in the United States.
We are seeking an experienced Principal Data Architect to lead the design and implementation of scalable, cloud-based data platforms. This role is focused on building end-to-end Data Lakehouse solutions that empower clients to transform raw data into actionable insights. You will collaborate closely with stakeholders, technical teams, and clients to define architecture, ensure data quality, and implement governance standards. The ideal candidate combines hands-on technical expertise with strategic thinking, mentoring skills, and a strong understanding of cloud technologies and analytics platforms. This is an opportunity to drive impactful solutions in a fast-paced, data-driven environment, while influencing architecture standards and best practices across multiple projects.
Accountabilities:
- Lead the architecture, design, and deployment of scalable Data Lakehouse solutions on cloud platforms such as GCP, leveraging BigQuery, GCS, BigLake, and Dataplex.
- Collaborate with clients to understand business goals, data requirements, and technical challenges, translating them into actionable architectural plans.
- Design and implement batch and real-time data pipelines using modern orchestration and streaming frameworks.
- Establish best practices for metadata management, data cataloging, lineage tracking, and data quality across multiple systems.
- Define and enforce data governance, security, and access control standards in line with enterprise and regulatory requirements.
- Mentor engineers and review solutions to ensure architectural consistency and maintainability.
- Serve as a technical advisor in client engagements, providing guidance on best practices, trade-offs, and solution adoption.
Requirements
- 8–10 years of progressive experience in software engineering and data platform development, including 5+ years architecting data platforms on GCP or Databricks.
- Proven experience designing and deploying Data Lakehouse platforms with medallion architecture and data product frameworks.
- Expertise in real-time and batch data ingestion patterns, ETL/ELT pipeline design, and orchestration tools such as Airflow or Pub/Sub.
- Strong skills in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
- Hands-on experience implementing data governance, security, and cataloging solutions (e.g., Dataplex, Data Catalog, IAM).
- Excellent communication and presentation skills for engaging both technical and non-technical stakeholders.
- Demonstrated leadership and mentoring abilities in cross-functional teams, balancing strategic architecture with hands-on delivery.
- Nice-to-have: Experience with Databricks (Delta Lake, Unity Catalog) and hybrid GCP-Databricks architectures.
- Strong problem-solving mindset, curiosity for emerging technologies, and ability to navigate between high-level architecture and detailed implementation.
Benefits
- Competitive salary: $200,000 - $220,000 per year.
- Comprehensive health insurance coverage.
- Paid leave, holidays, sick leave, parental leave, and bereavement leave.
- 401(k) employer match.
- Employee referral bonuses.
- Opportunities for professional development and working with cutting-edge cloud and data technologies.
- Remote work flexibility and a collaborative, innovative environment.
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 3 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.
