Data Warehouse Architect

Xsolla; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Data Warehouse Architect, where you'll lead the design and implementation of cutting-edge data warehouse solutions. This role involves collaborating with cross-functional teams to ensure data integrity and compliance while optimizing performance. With a strong focus on personal and professional development, you'll enjoy unlimited Flexible Time Off, 28 paid holidays, and a personalized career roadmap. If you're passionate about data architecture and thrive in dynamic environments, this opportunity is perfect for you.

Benefits

Unlimited Flexible Time Off

28 Paid Holidays

In-house Training

Conference Attendance

Higher Education Opportunities

Qualifications

• 5+ years of experience in data architecture, modeling, and ETL development.
• Solid experience with Google Cloud Platform and BigQuery.

Responsibilities

• Design and implement data warehouse solutions using Google Cloud Platform.
• Collaborate with teams to understand data needs and optimize performance.

Skills

Data Architecture

Data Modeling

ETL Development

Analytical Skills

Problem-Solving

Interpersonal Skills

Communication Skills

English Language Proficiency (B2)

Education

Relevant Certifications (e.g., Google Cloud certification)

Tools

Google Cloud Platform

Google BigQuery

Google Composer (Apache Airflow)

Debezium

Kafka

RDBMS

NoSQL Solutions

Job description

We are looking to hire a Data Warehouse Architect (DWH Architect) to join our dynamic engineering team all over the world. As a DWH Architect, you will be responsible to drive and coordinate the technical execution of enterprise data warehouse solutions and services that includes understanding business requirements, solution design, Data Extraction, Transformation and Integration architecture, development, testing, deployment and ongoing operational support. The DWH Architect will assist in project execution and engage directly with project technical staff and Business stakeholders. This role is responsible for providing technical & functional leadership on data warehouse solutions.

We are open to candidates from the CIS region.

RESPONSIBILITIES

• Design and implement data warehouse solutions using Google Cloud Platform,
• BigQuery, and other relevant technologies.
• Develop and maintain data models, schemas, and ETL processes to support business requirements.
• Collaborate with cross-functional teams to understand data needs and requirements.
• Optimize data warehouse performance and scalability.
• Ensure data security, integrity, and compliance with regulatory standards.
• Provide expertise and guidance on data architecture best practices.
• Troubleshoot and resolve data warehouse issues as they arise.

REQUIREMENTS

• 5+ years of experience in data architecture, data modeling, and ETL development.
• Solid experience with Google Cloud Platform, Google BigQuery, Google Composer (Apache Airflow).
• Experience with Python.
• Experience with Debezium + Kafka solution.
• Experience with different RDBMS and NoSQL solutions.
• Experience diagramming complex data architectures and using ERDs.
• Excellent interpersonal and communication skills.
• Strong analytical and problem-solving abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• English language proficiency at B2 level or higher.
• A plus if: Relevant certifications (e.g., Google Cloud certification).

At Xsolla, we are passionate about providing a conducive environment for our team to thrive personally and professionally. Our Benefits Program caters to the physical, mental, and emotional well-being of our full-time employees.

Understanding the detrimental effects of burnout, we offer unlimited Flexible Time Off and 28 paid holidays each year. Personal and professional development is a cornerstone of our ethos at Xsolla. Each employee has a personalized career roadmap, developed in partnership with their manager, aligning individual and company goals. We support this growth through in-house training, independent study, conference attendance, and higher education opportunities.