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

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