Principal Solution Architect Data Engineering AI/ML

Position Overview

Autodesk is looking for an experienced Principal Solution Architect Data Engineering to join our dynamic team focused on creating innovative data solutions to support AI/ML applications. You should have a background in Architecting, designing, building, and maintaining scalable data pipelines and infrastructure to support AI/ML-driven products.

We are establishing a new team, and you will play a key leadership role in mentoring and coaching the technical talent team in Poland.

We are looking for hands-on technical expertise taking designs from proof of concept to full web-scale production.

You will report to the Senior Manager, Global Delivery and Solution .

This role is hybrid - you can use our office spaces but are not required to come in a specific number of days per week. You may occasionally attend an office-based meeting or workshop.

Responsibilities:

• Stay informed about technology trends affecting our customers
• Architect scalable data pipelines and infrastructure to support AI/ML solutions
• Mentor developers and 3rd party consultants
• Conduct workshops with key stakeholders to understand customer's challenges and gather requirements
• Analyse gaps between requirements and product and platform capabilities
• Define Solution Architectures (Business, Application, Technology) that drive desired outcomes
• Validate architectures feasibility (can include Proof of Concept development)
• Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure the delivery of high-quality data solutions
• Implement data collection, transformation, and storage processes to support machine learning models and AI applications
• Improve data pipelines for performance, scalability, and reliability
• Ensure data quality, consistency, and availability across multiple data sources and systems
• Monitor and troubleshoot data pipelines to ensure seamless operation and minimal downtime
• Work with cloud-based platforms (e.g., AWS / Azure) to deploy and manage data solutions at scale
• Develop documentation for data pipelines, processes, and infrastructure
• Stay up-to-date with the latest trends and technologies in data engineering and AI

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 10+ years of experience in data engineering, with a focus on building and maintaining scalable data solutions
• 5+ years of above in a technical leadership role; oversee large-scale implementation
• Experience taking data solutions from proof of concept to full web-scale production
• Experience in Architecting complex data platforms
• Programming skills in languages such as C#, Java, R or Python
• Experience integrating and optimizing data solutions using technologies like Pinecone (or other vector databases) for AI applications
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS S3, Azure Data Lake, GCP BigQuery)
• Knowledge of data modelling, ETL processes, and data warehousing concepts
• Experience with machine learning and AI principles
• Proficiency in Oral and Written English
• This technical leadership role also includes managerial responsibilities
• Experience working with stakeholders and customers in other parts of Europe and Americas
• No Travel restrictions to Europe and Asia

Preferred Qualifications:

• Hands-on experience with data pipeline tools and frameworks (e.g., Apache Spark, Apache Kafka, Airflow)
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Familiarity with big data technologies (e.g., Hadoop, HDFS)
• Knowledge of ML frameworks like TensorFlow, PyTorch be advantageous
• Knowledge of data governance and security best practices
• Any of the following Certification in cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
• Any of the following certifications: TOGAF, ArchiMate, ITIL, AWS solution architect, Azure solution architect
• Experience working in an Agile development environment
• Experience in Architecture, Engineering and Construction or Manufacturing Industry solutions
• Familiarity with the concept of data architecture as a composition of models, policies, rules or standards that govern which data is collected

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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

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