Data Architect

Jobgether; Oregon; Ibrido; USD 160.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Paid vacation and PTO

Paid holidays

Sick leave

Parental leave

Bereavement leave

401(k) with employer matching

Employee referral bonuses

Descrizione del lavoro

Jobgether is seeking a Data Architect in the United States to lead the design of scalable data platforms, focusing on Data Lakehouse solutions on Google Cloud Platform with BigQuery, GCS, BigLake, and Dataplex.

You will translate business needs into architectural strategies, guide data pipelines, governance, and security, and mentor teams while delivering maintainable solutions.

Competenze

• 6+ years in software engineering and data platform development.
• 5+ years architecting data platforms on GCP and/or Databricks.
• Hands-on experience building Data Lakehouse platforms with data products.
• Experience with real-time and batch ingestion and data orchestration.

Mansioni

• Lead end-to-end architecture and implementation of Data Lakehouse on GCP.
• Translate client objectives into architectural blueprints and plans.
• Design data pipelines for real-time and batch ingestion.
• Establish data cataloging, metadata, lineage, and quality practices.
• Define data security and governance frameworks.
• Mentor engineers and ensure architectural consistency.

Conoscenze

GCP architecture

Databricks

Data Lakehouse

ETL/ELT pipelines

Airflow

Data modeling

Data governance

Security & IAM

Leadership

Client mentorship

Strumenti

BigQuery

Google Cloud Storage

Dataplex

BigLake

Unity Catalog

Airflow

Pub/Sub

Descrizione del lavoro

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

As a Data Architect, you will lead the design and implementation of modern, scalable data platforms that help organizations transform complex information into actionable insights. You will specialize in building Data Lakehouse solutions on Google Cloud Platform, leveraging technologies such as BigQuery, Google Cloud Storage, BigLake, and Dataplex. Working closely with clients, you will translate business objectives and technical challenges into robust architectural strategies. You will guide the development of reliable data pipelines, governance frameworks, and secure data environments. Combining strategic architecture with hands-on engineering, you will help teams deliver high-performing and maintainable solutions. This role offers the opportunity to influence technical direction, mentor engineering talent, and advise clients on their data transformation journeys.

Accountabilities

• Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP), using BigQuery, Google Cloud Storage (GCS), BigLake, and Dataplex.
• Work directly with clients to understand business objectives, data challenges, and technical requirements, translating them into architectural blueprints and actionable implementation plans.
• Design and implement data pipelines for both real-time and batch ingestion using modern orchestration and streaming frameworks.
• Establish and enforce best practices for data cataloging, metadata management, data lineage, and data quality across multiple systems.
• Define and implement data security, access controls, and governance frameworks that meet enterprise and regulatory requirements.
• Serve as the technical lead for project teams, mentoring engineers, reviewing technical solutions, and maintaining architectural consistency across deliverables.
• Balance strategic architecture responsibilities with hands-on development, proof of concepts, technical deep dives, and data pipeline performance optimization.
• Collaborate with stakeholders, cloud architects, and delivery leads to ensure successful solution adoption, scalability, and long-term maintainability.
• Act as a trusted technical advisor during client engagements, clearly communicating architectural trade-offs, industry best practices, and technical recommendations.

Requirements

• At least 6 years of progressive experience in software engineering and data platform development.
• At least 5 years of experience architecting data platforms on Google Cloud Platform (GCP) and/or Databricks.
• Proven hands-on experience designing and deploying Data Lakehouse platforms, including data products and medallion architectures.
• Strong understanding of real-time and batch data ingestion patterns, ETL/ELT pipeline design, and data orchestration using tools such as Airflow, Pub/Sub, or comparable frameworks.
• Expertise in data modeling, storage optimization, partitioning strategies, and performance tuning for large-scale analytical workloads.
• Experience implementing data governance, security, and cataloging solutions using Dataplex, Data Catalog, IAM, or equivalent technologies.
• Excellent communication and presentation skills, with the ability to engage technical and non-technical stakeholders and guide clients through complex solution decisions.
• Demonstrated ability to lead multidisciplinary teams of engineers, analysts, and architects while combining architectural vision with hands-on delivery.
• Strong problem-solving skills, intellectual curiosity, and the ability to move between high-level architecture discussions and detailed code-level troubleshooting.
• Nice to have: Experience with Databricks technologies, including Delta Lake and Unity Catalog.
• Familiarity with hybrid GCP and Databricks data architectures.

Benefits

Annual salary range of

$160,000-$200,000

• Comprehensive health insurance.
• Paid vacation and paid time off (PTO).
• Paid holidays.
• Sick leave.
• Parental leave.
• Bereavement leave.
• 401(k) retirement plan with employer matching contributions.
• Employee referral bonuses.
• Comprehensive benefits package designed to support employee well-being.