Senior Solutions Architect

At PMI, we've chosen to do something incredible

We're totally redefining our business and building our future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas / directions.

As "Senior Solution Architect - Data Platform", you will contribute to the evolution of our company-wide data, AI, and analytics platform, which serves central teams and markets.

This role is pivotal in shaping the architecture of our next-generation data platform leveraging AWS, Snowflake and cutting-edge AI technologies.

As part of the Data Platform Architecture team, you will play a key role in defining and delivering scalable, high-performance solutions that empower our data and AI initiatives across the organization.

Why join the PMI Data Platform Architecture Team?

• A unique opportunity to transform and evolve our global data, AI and analytics platform that delivers data solution to the entire company using cloud-native technologies.
• Engage with our customers across all functions and regions.
• Collaborate with other architects, engineers, and our security teams to build robust, scalable, secure, self-service industrialized data and AI platform solutions.

What will be your key responsibilities?

Data Platform Design and Architecture :

Design and architect end-to-end solutions for data platforms, integrating data lakes, warehouses, and advance analytics capabilities, primarily using Snowflake and AWS cloud, aligning to business requirement emphasizing scalability and security.

Conduct regular security reviews in collaboration with the security team and submit architectural designs to the review board for evaluation and approval.

Collaboration and Communication :

Collaborate with business stakeholders and Product owners to gather requirements and define strategies for data platform modernization.

Work closely with cross-functional teams to ensure successful implementation of architectural solutions.

Technology and Vendor assessment :

Participate in evaluation and recommendation of emerging data platform vendors and tools, leading proof-of-concept initiatives, and pilot projects, ensuring alignment with business and technology platform needs.

Best Practices and Standards :

Establish and enforce Data platform architecture best practices, standards, and guidelines.

Create and deliver reusable technical assets and design patterns that help to accelerate the adoption of data platform solution on AWS and Snowflake platform.

Architectural Guidance and Documentation :

Create and maintain comprehensive documentation for all data platform solution.

Provide guidance and architectural support to data engineers and developers in setting up and building data platform infrastructure and solution.

Mentorship and Leadership :

Mentor junior architects and collaborate with other architects to drive overall technology strategy.

Stay on Trend :

Lead with industry trends, emerging technologies, data, and integration patterns to drive innovation within the organization.

Project Planning :

Participate in the estimation of project timelines, resources, and budgets related to architecture efforts

What You Will Need

Education and Architecture Experience :

Over 8 years experience in designing and developing database or data warehousing solutions including Modern Data platforms ensuring scalability, security, governance and cost efficiency.

Technical Proficiency :

Extensive hands-on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS

Experience and good understanding on Cloud infrastructure, networking and IAM services on AWS.

Database Knowledge :

Proficient with relational databases and NoSQL databases, such as Document DB and Graph DB.

Skilled in working with both structured and unstructured data.

Integration :

Strong knowledge of data integration methods, including messaging, queuing, change data capture, and data virtualization.

BI / Visualization

Experience on BI tools like – Power BI, Graph Visualization reporting are good to have.

Data Concepts and Management :

Solid understanding of data lake, data mesh, and data fabric architectures.

Good understanding of data management and governance practices in large organizations

Architectural Expertise :

Proficient in architecting and documenting data platform solutions at various levels using solution architecture methodologies and best practices.

Communication Skills :

Excellent oral and written communication skills, with the ability to effectively convey technical concepts and align with both technical and business audiences.

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