Data Architect

How you will make an impact 

We are seeking a strategic and experienced Data Architect to join our globally distributed team. The core mission of this role is to design define and protect our global data architecture. You will be instrumental in creating scalable reusable and efficient data solutions that serve the entire organization. A key focus will be on driving cost control and optimization by implementing and enforcing architectural best practices across all data-related projects and platforms.  

Your responsibilities will include establishing clear documentation and standards for data processing conducting architectural reviews and managing the solution design acceptance for new data requests. This requires close collaboration with a diverse team of engineers analysts and business stakeholders across different regions. The ideal candidate will ensure our global data landscape is not only robust and secure but also a cost-effective asset that directly supports our worldwide business operations and strategic goals.

Your Responsibilities:

• Act as a hands-on data architect directly shaping and implementing scalable secure and high-performing data solutions across Google Cloud Platform (GCP) and hybrid environments.
• Lead the end-to-end design and modeling of data architectures translating strategic business goals into actionable technical roadmaps and robust well-documented designs.
• Collaborate closely with engineering teamsto build and optimize data models pipelines and storage solutions using modern technologies like dbt Google Cloud Pub/Sub Dataflow Cloud Composer Dataproc and Dataform.
• Articulate and enforce the impact of architectural choiceson non-functional requirements such as scalability performance availability and security.
• Provide technical guidance and mentorshipto development teams on data modeling integration and performance fostering a culture of engineering excellence.
• Construct advocate for and drive the adoptionof architectural principles standards and reference patterns at a company-wide level.
• Support cloud migration strategieswith a sharp focus on data transformation optimization and ensuring long-term architectural consistency.
• Continuously research and evaluate emerging technologiesand industry trends to inspire and drive architectural improvements both within and beyond your immediate area of responsibility.
• Inform and influence the technology evaluation process applying a deep understanding of large-scale computing solutions and enterprise technology trends. 

Qualifications :

Qualifications

Required key competencies and qualifications:

• Minimum 14 years of experience with 6 years of experience in Data Architecture.
• Proven experience as a hands-on Data Architect or in a similar senior engineering role with a track record of designing and implementing large-scale data solutions.
• Deep hands-on mastery ofGoogle Cloud Platform (GCP)- nice to have especiallyGoogle BigQuery(advanced modeling cost optimization performance tuning and orchestration) or other public cloud such as AWS or Azure.
• Extensive knowledge of diversedatabase technologies(relational NoSQL) and modern data paradigms such asData Mesh Data Fabric and Lakehouse.
• Strong hands-on proficiency inPython with a commitment to applyingClean Codeprinciples and software engineering best practices.
• Experience with the modern Google Cloud data stack including technologies like dbt Cloud Pub/Sub Dataflow Cloud Composer Dataproc and Dataform.
• A strong track record inengineering robust data solutions across both streaming and batch paradigms particularly leveraging serverless technologies.
• Demonstrated ability to lead and collaborate effectively withincross-functional globally distributed teams.
• Excellent communication skills inEnglish(both written and verbal) with the ability to convey complex technical concepts with clarity to both technical and non-technical audiences. 

Does this resonates with you Apply now!

Remote Work :

No

Employment Type :

Full-time