Senior Cloud Data Architect

Overview

Role Overview: As a Senior Cloud Data Architect , you will be the Anchor Architect and Strategic Partner for a key account, leading end-to-end technical strategy and architecture for multi-cloud environments with a focus on AWS and Snowflake . This role demands exceptional stakeholder management skills, strategic thinking, and the ability to design and implement cutting-edge data solutions.

Responsibilities

• Strategic Leadership: Act as the Architectural Anchor and trusted advisor for the client, driving strategic initiatives across the account.
• Whiteboarding sessions and deck creation: Engage to communicate and refine strategies collaboratively with clients.
• Roadmap definition and execution: Define and execute project roadmaps, ensuring alignment with the client\'s business goals and technical vision.

• Technical Architecture and Implementation: Architect and implement multi-cloud environments (AWS primary, Azure secondary) with expertise in cloud challenges and best practices.
• Design and deliver at least 3 end-to-end data solutions on Snowflake with advanced dimensional modeling.
• Lead the implementation of BI/Reporting solutions (minimum 3 projects) using Power BI .
• Build robust solutions leveraging tools such as Airflow , Nifi , Kafka , and SageMaker while ensuring optimal data automation and orchestration.
• Integrate DevOps processes including CI/CD, automation, and security protocols to ensure efficient delivery pipelines.
• Establish and maintain standards for Data Governance , Observability , and Quality , including adherence to ARBs.

• Stakeholder and Team Collaboration: Collaborate effectively with senior stakeholders, technical teams, and business leaders to align architecture and strategies.
• Guidance and best practices: Provide guidance to development teams and end-users on best practices, housekeeping, and technical solutions.
• ML Ops and advanced analytics: Mentor teams in the adoption of modern practices such as ML Ops and advanced analytics.

• Documentation and Communication: Develop comprehensive technical documentation for solutions and best practices.
• Prepare proposals, evaluations, case studies, RFPs, and RFIs to support business development efforts.

• Innovation and Optimization: Identify and implement optimizations in architecture, scalability, and cost-efficiency.
• Evaluate and recommend emerging technologies to enhance client value and drive innovation.

Required Skills and Qualifications

• Experience: Minimum 12+ years of relevant experience, with 8+ years designing and implementing data solutions on cloud platforms ( AWS preferred , Azure, or GCP).
• Education: Bachelor\'s or master\'s degree in computer science or a related field.
• Expertise in Snowflake is essential, with hands-on experience delivering at least 3 solutions.
• Strong knowledge of data modeling (dimensional modeling is a must).
• Working experience with tools like Airflow , Nifi , S3 , SFTP , Kafka , SageMaker , and EMR .
• Familiarity with DevOps tools such as Git , Harness , and EKS .
• Proven ability to implement BI solutions using Power BI (minimum 3 implementations).
• Knowledge and experience working with ML models and ML Ops .
• Strong communication and interpersonal skills, with the ability to manage senior stakeholders effectively.
• Demonstrated experience in Data Governance , Observability , and Quality standards .
• Ability to lead cross-functional teams and set technical visions while balancing business objectives.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Business Consulting and Services