Distinguished Architect

Job Requisition ID #

22WD64406

Position Overview

Do you love sitting at the intersection of data, technology, and people? Are you a big data expert and have experience building petabyte scale data lakes and data warehouses? Do you enjoy working within the AWS ecosystem and other cutting-edge technologies? Most importantly, do you challenge yourself to make it dead simple for people to derive insights from data, no matter the scale? Autodesk is seeking a Distinguished Architect to lead our big data platform efforts, design our next generation data lake, and help our employees easily leverage data analytics and machine learning to create better outcomes for our customers.

Staying on top of the latest innovations around data systems and flows must be a passion of yours. As part of a larger enterprise ecosystem, our engineering teams will look to you for guidance on how to build modern cloud-based data systems and services that scale to meet the needs of our business. Our team is versatile, polyglot, and cross-functional. We work in Python, AWS, Snowflake, SQL, C++, Presto, Spark, Kafka, flink and much more. The team is geographically dispersed, and values transparent, collaborative communication and cooperation.

This is a Director-level role within the Analytics Data leadership team and provides a unique opportunity to drive innovation and transformational change with our employees and how they create value from data. A successful candidate will not only have the technical expertise to craft a compelling big data strategy but will also possess the business acumen and gravitas to inspire people to bring that strategy to life.

Responsibilities

• Ownership of platform and domain architecture for Analytics Data systems and related components of the Analytics Data Platform
• Consulting and collaborating with stakeholders and other architects to adequately understand requirements for software architecture and implementation

• Understand both internal and external customer requirements and render those as architectural models that will operate at large scale and high-performance
• Work with a global team of engineers to build data ingestion, data management, and data insight frameworks that emphasize a platform mentality and utilize AWS and other best of breed data offerings
• Engage with the rest of the Autodesk technical community to evangelize, defend and adapt how to best produce and consume big data as it aligns to the company's continuing digital transformation
• Consciously monitoring implementation to ensure non-functional requirements such as availability, scalability, reliability, security, compliance, governance is all in place.
• Passion for following and incorporating emerging trends in big data and technology

Minimum Qualifications

• Highly technical systems thinker with 10+ years of big data platform experience (APIs, front-end, backend, security, data, service, persistence layers, automated testing, etc.).
• Excellent verbal and written communications skills are a must have, as well as the ability to work effectively across internal and external organizations and virtual teams.
• Strong leadership, problem solving, communication, and influencing skills

• Ability to understand complex business requirements and render them as prototype systems with quick turnaround time.
• Strong experience in API and Pub/Sub architecture with hands on implementation experience at scale
• Strong experience with real-time streaming architecture and technologies like Kafka, Spark-streaming and Flink
• Experience serving as architect for applications on cloud infrastructure (AWS, Azure)
• Experience building and operating big data query engines (such as Spark, Presto, Hive), databases (such as MySQL, PostgreSQL, Dynamo), and data warehouses (such as Snowflake, Redshift)

• Deep knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with Amazon Web Services (AWS)

Preferred Qualifications

• An advanced degree in computer science, MIS, engineering, or related discipline
• Track record of implementing AWS services in a variety of environments, from startups to large enterprises

• Deep understanding of data ingestion patterns (for both event based and structural data) and understanding of related concepts (such as data cataloging and data lineage, etc.)
• Demonstrated industry leadership in the fields of data warehousing, data science and data processing

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

#LI-POST

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.