Company Overview:

We are a leading global consulting firm, partnering with Fortune 500 companies across various industries including finance, healthcare, and retail. We specialize in delivering innovative technology solutions that drive business transformation and create lasting value for our clients. Our collaborative culture fosters continuous learning and empowers our consultants to excel.

Role Overview:

As a Single View Architect Lead, you will be at the forefront of designing and implementing cutting-edge Single View solutions for our clients. You will collaborate closely with business stakeholders, data engineers, and other architects to define the architectural vision, ensure alignment with business goals, and drive the successful delivery of scalable and robust Single View platforms.

Your expertise will be instrumental in enabling our clients to gain a 360-degree view of their customers, improve decision-making, and enhance customer experiences.

Key Responsibilities :

- Define and communicate the architectural vision and roadmap for Single View solutions, ensuring alignment with business requirements and technology strategy.

- Design and implement scalable, high-performance Single View platforms that integrate data from diverse sources.

- Lead the development of data models, data governance policies, and data quality standards for Single View implementations.

- Collaborate with data engineers and other architects to ensure the successful implementation of Single View solutions.

- Provide technical guidance and mentorship to junior architects and developers.

- Evaluate and recommend new technologies and approaches for Single View implementations.

- Present architectural designs and recommendations to stakeholders at all levels.

Required Skillset :

- Demonstrated ability to design and implement Single View solutions using various technologies, including master data management (MDM), customer data platforms (CDP), and data integration tools.

- Proven ability to lead and mentor technical teams.

- Excellent communication, presentation, and interpersonal skills.

- Strong understanding of data modeling, data governance, and data quality principles.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Bachelor's or Master's degree in Computer Science or a related field.

- Ability to work effectively in a remote or hybrid environment.