Infosys Consulting
Senior Solution Architect - Data Platform
Infosys Consulting, Poland, New York, United States
Senior Solution Architect – Data Platform
As Senior Solution Architect – Data Platform, you will contribute to the evolution of our company‑wide data, AI, and analytics platform, shaping the architecture of our next‑generation data platform leveraging AWS, Snowflake, and cutting‑edge AI technologies. You will play a key role in defining 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 a global data, AI and analytics platform that delivers data solutions to the entire company using cloud‑native technologies.
Engage with customers across all functions and regions.
Collaborate with other architects, engineers, and security teams to build robust, scalable, secure, self‑service industrialised data and AI platform solutions.
Key Responsibilities
Data Platform Design and Architecture:
Design and architect end‑to‑end solutions for data platforms, integrating data lakes, warehouses, and advanced analytics capabilities, primarily using Snowflake and AWS.
Develop and maintain reference architectures, blueprints, and solution design patterns.
Guide the integration of modern database technologies, including SQL and NoSQL databases.
Ensure compliance with IT security policies and standards.
Collaborate with business users to design intuitive and scalable UI/UX solutions.
Conduct regular security reviews in collaboration with the security team.
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.
Best Practices and Standards:
Establish and enforce data platform architecture best practices, standards, and guidelines.
Create and deliver reusable technical assets and design patterns to accelerate adoption on AWS and Snowflake.
Architectural Guidance and Documentation:
Create and maintain comprehensive documentation for all data platform solutions.
Provide guidance to data engineers and developers in building data platform infrastructure.
Mentorship and Leadership:
Mentor junior architects and collaborate with peers to drive overall technology strategy.
Stay on Trend:
Lead with industry trends, emerging technologies, data, and integration patterns to drive innovation.
Project Planning:
Participate in the estimation of project timelines, resources, and budgets related to architecture efforts.
Requirements – What You Will Need
Education and Architecture Experience:
Over 8 years of experience designing and developing database or data warehousing solutions, including modern data platforms with scalability, security, governance and cost efficiency.
Technical Proficiency:
Extensive hands‑on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS.
Expert‑level knowledge and minimum 3 years experience with Snowflake Data Platform.
Architecture experience with dbt and Matillion is desired.
Experience and good understanding of 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 such as Power BI; graph visualization reporting is a plus.
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 organisations.
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.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.
Benefits We offer industry‑leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
#J-18808-Ljbffr
Why join the PMI Data Platform Architecture Team?
A unique opportunity to transform and evolve a global data, AI and analytics platform that delivers data solutions to the entire company using cloud‑native technologies.
Engage with customers across all functions and regions.
Collaborate with other architects, engineers, and security teams to build robust, scalable, secure, self‑service industrialised data and AI platform solutions.
Key Responsibilities
Data Platform Design and Architecture:
Design and architect end‑to‑end solutions for data platforms, integrating data lakes, warehouses, and advanced analytics capabilities, primarily using Snowflake and AWS.
Develop and maintain reference architectures, blueprints, and solution design patterns.
Guide the integration of modern database technologies, including SQL and NoSQL databases.
Ensure compliance with IT security policies and standards.
Collaborate with business users to design intuitive and scalable UI/UX solutions.
Conduct regular security reviews in collaboration with the security team.
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.
Best Practices and Standards:
Establish and enforce data platform architecture best practices, standards, and guidelines.
Create and deliver reusable technical assets and design patterns to accelerate adoption on AWS and Snowflake.
Architectural Guidance and Documentation:
Create and maintain comprehensive documentation for all data platform solutions.
Provide guidance to data engineers and developers in building data platform infrastructure.
Mentorship and Leadership:
Mentor junior architects and collaborate with peers to drive overall technology strategy.
Stay on Trend:
Lead with industry trends, emerging technologies, data, and integration patterns to drive innovation.
Project Planning:
Participate in the estimation of project timelines, resources, and budgets related to architecture efforts.
Requirements – What You Will Need
Education and Architecture Experience:
Over 8 years of experience designing and developing database or data warehousing solutions, including modern data platforms with scalability, security, governance and cost efficiency.
Technical Proficiency:
Extensive hands‑on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS.
Expert‑level knowledge and minimum 3 years experience with Snowflake Data Platform.
Architecture experience with dbt and Matillion is desired.
Experience and good understanding of 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 such as Power BI; graph visualization reporting is a plus.
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 organisations.
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.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.
Benefits We offer industry‑leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
#J-18808-Ljbffr