• Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration. • Create, maintain and execute basic to intermediate SQL scripts for data management and data validation. • Optimize the queries to improve the efficiency of daily tasks. • Perform data analysis and identify any issues. • Work with other groups such as Engineering team, DBA, Cloud ops, etc. to troubleshoot and resolve any environmental or network issues that impact your work. • Extend your support to after – hours or weekends as needed. • Create and maintain data pipelines as needed. • Validates the tasks results to ensure that all the requirements are met. • Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity. • Complete individual productivity tracking. • Complete task assignments using department ticketing system within assigned deadline. • Achieve organizational and individual goals as identified in performance reviews and goal setting exercises. • Complete all special projects and other duties as assigned.

• Design, build, and maintain scalable ELT/ETL pipelines into BigQuery for core domains (orders, customers, products, inventory, fulfillment, procurement, marketing) • Build orchestration patterns with strong operational rigor (retries, idempotency, backfills, SLAs/SLOs, incident response) to enable reliable delivery • Implement data quality and testing frameworks (freshness checks, anomaly detection, unit/integration tests) and standardize monitoring/observability • Standardize CI/CD and infrastructure-as-code patterns for data systems and guide teams on best practices for ingestion, transformation, and orchestration • Lead modernization initiatives such as legacy warehouse to cloud lakehouse migrations and platform upgrades • Create and own curated, analytics-ready datasets and models (dimensional/conformed, semantic-ready layers) that make reporting fast, consistent, and self-serve • Establish and enforce standards for conceptual, logical, and physical data modeling • Oversee domain-driven modeling and data product design through reusable patterns and reference implementations • Establish data architecture standards including modeling conventions, schema evolution/versioning, incremental loading strategies, and warehouse performance patterns • Define and evolve the enterprise data architecture vision aligned to business strategy, including canonical data models, domain boundaries, and integration patterns • Lead architecture decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms • Evaluate and select strategic data technologies and vendors • Partner with Security and Legal to design privacy and compliance architectures (GDPR/CCPA/SOC2-aligned approaches) and establish enterprise governance frameworks • Build governance fundamentals including documentation, lineage/metadata, access controls, and PII handling • Act as the escalation point for data architecture decisions and mentor senior engineers/architects through reviews, templates, and best practices • Partner with application engineering and analytics stakeholders to define data contracts and ensure reliable upstream/downstream integrations • Translate business capabilities into scalable data platform solutions • Optimize cost and performance across BigQuery workloads (query optimization, partition pruning, clustering strategies, and workload management where applicable) • Drive adoption of emerging capabilities (real-time analytics, AI enablement, semantic layers, data mesh) and develop multi-year data roadmap and maturity models • Operate at enterprise scope across multiple business domains • Influence strategy beyond the immediate team and set technical direction that others follow.

• Be responsible for expanding and optimizing our data and data-pipeline architecture, as well as improving data flow and collection for cross-functional teams • Create, build, and maintain optimal data pipeline architectures • Assemble large, complex datasets that meet business requirements • Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and AWS/Azure big data technologies • Work with data and analytics experts to enhance the functionality and reliability of our data systems

Job Requisition ID # 26WD96683 Position Overview We are hiring a Principal Data Engineer to join Autodesk’s Enterprise Data Management (EDM) team within the COO-GET organization. In this senior technical leadership role you will lead the design and delivery of scalable data platform services, robust data products, and enterprise-wide data engineering standards that power canonical records and analytics across the company. You will partner across product, platform, and business stakeholders to translate complex business needs into pragmatic, high-quality technical solutions and to raise engineering maturity across multiple teams. Familiarity with master data management, data enrichment, identity resolution, and data quality practices is a plus. Responsibilities - Act as a technical leader and force multiplier across multiple data engineering teams: coach, mentor, and raise the bar on code quality, testing, and delivery practices - Define and own architecture and standards for data platform services, including data modeling, ETL/ELT patterns, metadata, and data governance - Lead design and delivery of robust, performant data pipelines and data products using modern cloud data platforms (e.g., Snowflake), orchestration, and transformation tooling (dbt or similar) - Drive DataOps maturity: testing frameworks, automated quality gates, CI/CD, observability, incident response, and runbooks for production data workloads - Solve complex, enterprise-scale data engineering challenges (record reconciliation, identity/organizational hierarchies, lineage, scale/performance) - Lead root-cause analysis and durable remediation for complex production incidents; enable teams to prevent recurrence - Collaborate closely with product managers, data stewards, analytics, ML, and business stakeholders to prioritize high-impact initiatives and translate requirements into scalable engineering solutions - Provide hands-on implementation as needed (POC, spike, or production work), and lead technical decision-making across teams - Design and operationalize real-time/near-real-time data paths and evented architectures as appropriate to use cases. Minimum Qualifications - BS/MS in Computer Science or a related technical field, or equivalent practical experience - 10+ years of hands-on software and data engineering experience in enterprise environments - Deep, demonstrable expertise with SQL, hive, dbt, Python & Snowflake, and modern data engineering tooling (Snowflake and dbt or comparable technologies) - Strong experience designing data models (conceptual, logical, physical) and optimizing query performance at scale - Practical experience with data lake table formats and query engines (for example, Apache Hive, Apache Iceberg) - Extensive AWS experience and comfortable designing solutions using cloud services and IaC (Terraform/CloudFormation) - Track record of leading architecture and solution design for complex, cross-team systems - Demonstrated ownership of data quality frameworks, observability, and production reliability for data workloads - Excellent communication skills and experience influencing stakeholders across GEOs and functions - Proven experience mentoring engineers and elevating team delivery practices. Preferred Qualifications - Prior experience in ingesting, aggregating, event streams, web & product analytics data - Practical experience with streaming/event-driven architectures and stream processing frameworks (for example, Apache Flink) - Familiarity with search/indexing systems and integrating with data APIs - Experience operationalizing ML/AI or GenAI capabilities on enterprise data platforms Learn More 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 – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $128,000 and $229,900. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity 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. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).