• Lead a growing team of PMs focused on enabling marketers, sales reps, customer success teams, and developers to work with complete, connected, and actionable customer data • Own the strategy and roadmap for HubSpot’s Data & Context platform • Guide new product ideas from concept to launch across both platform and AI-driven experiences • Partner closely with Engineering and UX to build scalable, intuitive, and developer-friendly systems • Work across teams to ensure data and context power every product experience across HubSpot • Use data to identify opportunities and drive high-impact platform and product improvements • Influence executive-level strategy and shape HubSpot’s long-term AI and data direction • Build and coach a high-performing team of Product Managers • Foster a culture of ownership, clarity, and customer-centric thinking • Create alignment across complex cross-functional teams

Role Description - Atuação na sustentação e evolução de uma plataforma de dados em arquitetura Lakehouse na AWS, baseada no modelo Medallion (raw, trusted e refined), com foco em dados provenientes de sistemas SAP; - Responsável por garantir a confiabilidade, escalabilidade e eficiência operacional dos pipelines de dados, promovendo melhorias contínuas em performance, segurança, governança e otimização de custos; - Liderança técnica no desenho e implementação de pipelines de ingestão e processamento utilizando serviços como AWS Glue, EMR e Lambda, assegurando aderência a padrões de arquitetura cloud-native e boas práticas de engenharia de dados; - Condução de iniciativas de modernização e migração de workloads legados para a AWS, com foco em resiliência, escalabilidade e redução de complexidade operacional; - Atuação transversal em múltiplos projetos, com forte interface com áreas de negócio, arquitetura, segurança e operações, contribuindo para alinhamento estratégico, definição de requisitos e evolução da plataforma de dados corporativa. Qualifications - AWS: S3, Glue, Athena, EMR, Lambda, Step Functions; - Engenharia de Dados com Python e Spark; - Modelagem de dados analíticos e otimização de pipelines; - Experiência com ambientes legados e estratégias de migração para AWS; - Postura consultiva, comunicação clara, forte capacidade de traduzir necessidades de negocio e foco em entrega de valor.

At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you’re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you’re not expected to fit a mold. You’re encouraged to break it and create something better. Crocs, Inc. - Senior Digital Data Engineer - Job ID #00077888 in Broomfield, CO - Design strategies for data warehouse systems and integrate new systems with existing warehouse structure and refine system performance and functionality. - Responsible for overall system availability and communication to global teams during times of outage. - Deploy and manage monitoring tools that will ensure the timeliness, completeness and accuracy of all data pipelines in databricks, Azure Data Factory and OIC. - Oversee daily system loads and control execution to ensure data integrity and alignment with other systems. - Ensure system patching is kept up to date and drives upgrade process based on corporate cadence. - Explore opportunities to improve system performance. - Architect and collaborate with the data engineers on deploying new source acquisition pipelines. - Ensure stability and performance of the existing pipelines in accordance with internal SLA’s. - Guide the data engineering team through the enhancements of the existing data flows for source acquisition. - Stay abreast on tool roadmap to identify opportunities and risks to current landscape. - Lead engineering best practices, including test-driven development, agile management, and continuous integration pipelines. - Craft technical documentation, including readme files, coding comments, and technical documents and provides guidance in this regard to the team. - Represent data engineering in the conversations with the Crocs business community and/or the front-end analytics team and support these teams in forming a technical solution for new data developments or enhancements of the existing flows. - Provide advice and guidance to the functional teams on best-in-class technical solutions. Position is 100% remote. Minimum Requirements: - Master’s degree or foreign equivalent in Computer Science, Information Technology and Analytics, Engineering, Mathematics, or related field, plus one (1) year of experience in the position offered, or related occupation. Must have experience with the following: - Leading small data engineering teams. - Working in Azure. - Designing data models following Kimbal Dimensional Modeling best practices. - Working with modern ETL and ELT tools, including Databricks. - Working with Python and PySpark. - Proficiency in SQL. - Working with a business intelligence tool, including Power BI. - Working with Azure Data Factory. - Utilizing Git version control in a data environment. - Continuous integration and deployment through Azure DevOps. Skills may be gained through academic coursework and concurrently while pursuing academic studies. Salary: $126,339 to $140,000 per year This position is eligible to participate in a company incentive program. To apply, go to Job ID # 00077888 at https://careers.crocs.com/careers/ or send resume to jobapplication@crocs.com. An EOE. This notice is provided in anticipation of the filing of an application for permanent alien labor certification. Any person may provide documentary evidence bearing on the application to the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210 #LI-DNI Crocs is an Equal Opportunity Employer committed to a diverse and inclusive work environment.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law. Title: Senior Digital Data Engineer - Job ID #00077888 Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.

About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Job Description: NDi is seeking a Senior Data Warehouse Specialist II to support a federal aviation safety analytics program for the Federal Aviation Administration (FAA). The program supports the Aviation Safety Information Analysis and Sharing (ASIAS) environment, which integrates aviation safety data from multiple government and industry sources to support safety analysis, risk monitoring, and operational decision-making across the National Airspace System. The Senior Data Warehouse Specialist will support the data architecture and analytics platform that powers this environment, including data warehouse maintenance, ETL development, data integration, and analytical data preparation. The role requires strong experience working with complex multi-source datasets and supporting large-scale enterprise data environments. Requirements: - U.S. Citizenship is required - Must be able to obtain a Public Trust clearance. - This position is remote with occasional meetings in Washington D.C. Qualifications and Experience: - Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related technical field. - Minimum fifteen (15) years of professional experience in data warehousing, data engineering, or enterprise data analytics environments. - Experience designing and maintaining ETL/data integration pipelines across multiple source systems. - Strong experience with SQL development, relational databases, and data modeling. - Experience working with enterprise data warehouse architectures and analytical data environments. - Experience supporting data quality, metadata management, and data governance practices. - Experience documenting data flows, data mappings, and technical specifications. - Strong analytical skills and ability to work with complex datasets. - Ability to communicate effectively with both technical and non-technical stakeholders. - High attention to detail and commitment to data quality. Preferred Skills and Qualifications: - Experience supporting large federal data or analytics platforms. - Experience with data standardization or taxonomy development initiatives. - Experience supporting analytical systems used for safety, risk, or operational analytics. - Experience working in large multi-source data integration environments. - Familiarity with ETL tools, data warehouse performance optimization, and enterprise data architectures. Responsibilities: - Design, develop, and maintain ETL processes supporting integration of multiple aviation safety data sources. - Support the maintenance and enhancement of the enterprise data warehouse environment. - Develop and maintain data models and analytical datasets supporting safety analytics. - Support integration of new data sources into the analytics platform. - Maintain data standards, metadata, and documentation for the data warehouse environment. - Support data quality validation, transformation logic, and data governance processes. - Document system architecture, data flows, and integration processes. - Support analysts and technical teams in accessing and using integrated safety datasets. - Assist with development of analytical data structures used for safety metrics and reporting. - Collaborate with technical teams to improve data accessibility, performance, and reliability of the analytics environment. Compensation and Benefits: At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job. Veterans First Commitment: As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization. Commitment to Diversity: NDi is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran or military status, citizenship, national origin, or any other basis prohibited by law in all phases of the employment process and compliance with applicable federal, state, and local laws and regulations. As a federal government contractor, NDi complies with all applicable affirmative action requirements. Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!