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About Us:

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute. Cloud, Data, and AI technologies are seeing tremendous innovation and are driving digital transformation across all the enterprises at an unprecedented pace (more than 100%). At Fractal, we are helping enterprises to harness the power of Data on a cloud through Architecture consulting, Data Platforms, Business-Tech platforms, Marketplaces, Data governance, MDM, DataOps, AI/MLOps. In addition, we leverage AI engineering practices to augment each of the areas.

Experience: 14+ Years
Role: Technical Lead – Data Architect (GCP)
Location: Mumbai, Gurgaon, Bangalore, Chennai, Pune, Noida
Domain: Data Engineering, Data Platforms, Analytics, AI/ML, Cloud Architecture

Responsibilities:

You will be responsible for defining enterprise-scale data architecture strategies, leading technical teams, and designing modern cloud-native data platforms. You will work closely with business stakeholders, data engineers, data scientists, and technology leaders to build secure, scalable, and future-ready data ecosystems leveraging Google Cloud technologies.

• Define and drive enterprise data architecture strategy aligned with business objectives and technology roadmaps.

• Evaluate current technology landscapes and recommend short-term and long-term architecture modernization plans.

• Lead the design and implementation of scalable cloud-native data platforms on Google Cloud Platform.

• Provide technical leadership and architectural guidance across multiple client engagements and delivery teams.

• Collaborate with data engineers, data scientists, and business stakeholders to design innovative data, analytics, AI, and ML solutions.

• Establish architecture standards, best practices, reusable frameworks, and reference architectures.

• Conduct architecture reviews and ensure compliance with enterprise security, governance, and operational standards.

• Design modern data architectures including Data Lakes, Lakehouse Platforms, Data Warehouses, Data Mesh, and Real-Time Analytics solutions.

• Drive adoption of DataOps, DevOps, CI/CD, Infrastructure-as-Code, and MLOps practices.

• Mentor and coach technical leads, architects, and engineering teams.

• Engage with client stakeholders to provide consulting, solution recommendations, and technology advisory services.

• Ensure successful delivery of scalable, secure, reliable, and maintainable platforms and solutions.

Skills & Requirements:

• In depth experience as an Architect who has experience in Google Cloud Platform and is passionate about applying latest technologies to solve business problems. An ideal candidate would have:

• 14+ years of experience in Data Engineering & Cloud Native technologies (including Google Cloud Platforms) that cover the big data, analytics and AI/ML domain is essential with experience using GCP

• Experience in BigQuery, Cloud Composer, Data Flow, Cloud Storage, AI Platform/Vertex AI, Dataproc, GCP IaaS Creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.

• Knowledge and working experience in - Data Engineering, Data Management and Data Governance

•  Experience of working in multiple End to End Data Engineering and or Analytics projects

• Knowledge of general programming languages and frameworks, in particular python and/or Java

• General technology best practices and development lifecycles such as agile and CI/CD but also those enabling more efficient employment of data and machine learning such as DevOps and MLOps.

• Technical architecture leadership and direction on projects resulting in secure, scalable, reliable, and maintainable platforms.

• Architecture skills that enable the creation of future-proof, complex global solutions using GCP services.

• Experience designing governance frameworks, data quality controls, metadata management, and lineage solutions.

• Strong understanding of cloud security principles, IAM, encryption, privacy, and regulatory compliance.

• Experience implementing enterprise-grade data security and governance controls on GCP.

• Implementation and/or creation of foundational architectures, including microservices, event-driven and event streaming, and those that enable online machine learning systems.

• Excellent communication and influencing skills, being able to adapt according to target audience.

Good to have:

• Experience in Container technology, specifically Docker and Kubernetes, DevOps on GCP

• Google Cloud - Professional Cloud Architect Certification

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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