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Job description
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
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Worksite address
bethesda, MD, 20811, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.