What are the responsibilities and job description for the Senior Cloud Data Architect position at Tredence?
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.
Roles and Responsibilities :
Strategic Leadership :
Act as the Architectural Anchor and trusted advisor for the client, driving strategic initiatives across the account.
Engage in whiteboarding sessions and deck creation to communicate and refine strategies collaboratively with clients.
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.
Provide guidance to development teams and end-users on best practices , housekeeping, and technical solutions.
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 masters 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.
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