Data Architect

Jobgether; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Paid vacation/PTO

Paid holidays

Sick leave

Parental leave

Bereavement leave

401(k) with employer matching

Employee referral bonuses

Comprehensive benefits package

Job summary

Jobgether seeks a senior data architect to lead enterprise data solutions on Google Cloud, specializing in data lakehouse architectures with BigQuery, GCS, Dataplex, and Databicks.

You will translate client objectives into scalable blueprints, design real-time and batch pipelines, and mentor engineers while ensuring security, governance, and performance at scale. You will interact with executives and delivery teams to drive adoption and long-term maintainability.

Qualifications

• 6+ years of progressive experience in software engineering and data platform development.
• 5+ years architecting data platforms on Google Cloud Platform (GCP) and/or Databricks.
• 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.

Responsibilities

• Lead the end-to-end architecture and delivery of Data Lakehouse solutions on GCP (BigQuery, GCS, BigLake, Dataplex).
• Translate client objectives into architectural blueprints and actionable implementation plans.
• Design and implement real-time and batch data pipelines and ingestion processes.
• Establish best practices for data cataloging, metadata management, data lineage, and data quality.
• Define and implement data security, access controls, and governance frameworks.
• Serve as the technical lead, mentoring engineers and maintaining architectural consistency.
• Balance strategic architecture with hands-on development and POCs.
• Collaborate with stakeholders to ensure adoption, scalability, and long-term maintainability.
• Act as a trusted advisor, communicating architectural trade-offs and best practices to clients.

Skills

Data engineering

Data architecture

GCP

Databricks

Airflow

Pub/Sub

Data modeling

Data governance

Client engagement

Mentoring

Tools

Dataplex

BigQuery

BigLake

Data Catalog

IAM

Job description

Accountabilities

In this role, you will provide technical leadership throughout the architecture, design, and delivery of enterprise data solutions. Your responsibilities will include:

• 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

The ideal candidate will combine extensive data engineering and architecture experience with strong knowledge of cloud-based data platforms, technical leadership, and client engagement. Required qualifications include:

• 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.

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