Gcp DevOps Architect

It's fun to work in a company where people truly BELIEVE in what they are doing
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Brief About Fractal:
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500® companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies.

Fractal's 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.

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'll enjoy your career with us