It&aposs fun to work in a company where people truly BELIEVE in what they are doing!
We&aposre committed to bringing passion and customer focus to the business.
Brief About Fractal
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractal&aposs vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world&aposs most admired companies.
Fractal&aposs businesses include Crux Intelligence (AI driven business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (AI for revenue growth management) and Senseforth.ai (conversational AI for sales and customer service). Fractal incubated Qure.ai, a leading player in healthcare AI for detecting Tuberculosis and Lung cancer.
Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as &aposGreat Workplace&apos and &aposIndia&aposs Best Workplaces for Women&apos in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research Inc., a leader in Analytics & AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an &aposHonorable Vendor&apos in 2022 Magic Quadrant for data & analytics by Gartner Inc. For more information, visit https://fractal.ai/
Job Summary
We are seeking a highly experienced GCP DevOps Architect to lead the design, automation, and deployment of a scalable Google Cloud Lakehouse architecture integrated with MicroStrategy One BI. This role requires deep expertise in cloud-native data architecture, DevOps practices, data science workflows, and Agile delivery, with the ability to manage and collaborate across diversified stakeholder teams in an onshore/offshore operating model.
Key Responsibilities
- Architect and implement DevOps pipelines for data ingestion, transformation, analytics, and BI reporting using GCP services.
- Design and manage scalable data architectures, data models, and metadata frameworks to support advanced analytics and reporting.
- Integrate MicroStrategy One BI with Google Cloud data services for enterprise-grade dashboards and insights.
- Automate infrastructure provisioning, CI/CD pipelines, and monitoring using cloud-native tools and frameworks.
- Operationalize machine learning models and data science workflows using Vertex AI and other GCP services.
- Ensure compliance with data governance, security, and regulatory standards across environments.
- Lead Agile delivery across onshore/offshore teams, ensuring sprint goals, release milestones, and stakeholder alignment.
- Engage with client stakeholders to present architecture strategies, DevOps roadmaps, and performance metrics.
Required Skills & Qualifications
- Cloud & DevOps Expertise:
- Deep experience with Google Cloud Platform (GCP): BigQuery, Dataplex, Dataflow, Cloud Composer, Vertex AI, Pub/Sub, Cloud Functions.
- Proficiency in DevOps tools: Terraform, Jenkins, GitLab CI/CD, Cloud Build, Kubernetes, Docker.
- Experience with infrastructure as code, automated deployments, and monitoring/logging frameworks.
- Data & Analytics Expertise:
- Strong knowledge of data lakehouse architecture, data modeling, ETL/ELT pipelines, and data lifecycle management.
- Hands-on experience with MicroStrategy One BI: architecture, metadata, dashboard/reporting integration.
- Familiarity with data science workflows, including model training, deployment, and monitoring.
- Delivery & Collaboration Skills:
- Proven ability to lead large-scale cloud data programs in Agile environments.
- Experience managing onshore/offshore delivery models and cross-functional teams.
- Strong understanding of data governance, security, and compliance frameworks (e.g., GDPR, HIPAA).
Certifications (Preferred)
- Google Cloud Certified Professional Cloud Architect
- Google Cloud Certified Professional DevOps Engineer
Soft Skills
- Excellent communication and stakeholder engagement skills.
- Strategic thinking and problem-solving capabilities.
- Ability to mentor teams and drive DevOps and data architecture best practices.
If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us!
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