• Build large additions to our data engineering framework • Contributing to an infrastructure that centralizes ETL logic and metric definitions • Design and build scalable data engineering solutions to solve business and data problems • Contribute to a culture of technical collaboration and scalable development • Contribute ideas and direct the team’s investment to impactful, data-driven directions • Be part of a team which has high visibility across the organization

Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. HPE is seeking a Technical Marketing Engineer (TME) to join our Data Center Networking organization, supporting Apstra, HPE's industry-leading intent-based data center automation platform. Apstra simplifies the design, deployment, and lifecycle management of modern data center networks by allowing organizations to define their desired network intent while automating configuration, validation, and continuous operations. The platform enables customers to build highly reliable, scalable, and automated data center networks with confidence. As a Technical Marketing Engineer, you will bridge the gap between Engineering, Product Management, Marketing, and the Field. This is a highly visible role that combines deep technical expertise with exceptional communication and content development skills. You'll create compelling technical content, develop demonstrations, deliver presentations, and enable customers, partners, and field teams to successfully position and adopt Apstra. If you enjoy explaining complex technologies, building technical content, and influencing how innovative products are brought to market, this role offers an exciting opportunity to make a significant impact. Key Responsibilities - Develop technical enablement content, including presentations, solution guides, white papers, workshops, labs, and training materials. - Design, build, and maintain product demonstrations that showcase customer challenges, technical capabilities, and business outcomes. - Support field sales, systems engineering, and channel teams by providing technical expertise and creating customer-facing content. - Deliver presentations at customer meetings, internal enablement sessions, partner events, and industry conferences. - Collaborate closely with Product Management, Engineering, Marketing, and regional field organizations to support product launches and strategic initiatives. - Stay current on emerging technologies and industry trends in data center networking, automation, AI, and cloud infrastructure. - Translate complex technical concepts into clear, compelling messaging for technical and executive audiences. Qualifications - Successful candidates are naturally curious, highly collaborative, and passionate about both technology and communication. - Explains complex technical concepts clearly to audiences with varying levels of technical expertise. - Enjoys creating technical content, demos, and tools that solve real customer and field challenges. - Has a genuine passion for networking technologies and continuously expands your technical knowledge. - Is comfortable presenting to customers, partners, executives, and technical audiences. - Can manage multiple priorities independently while delivering high-quality work. - Brings thoughtful perspectives backed by technical expertise and data. - Is interested in technical marketing and enjoys helping shape product positioning and technical storytelling. Requirements - Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. - 8+ years of experience in Technical Marketing Engineering, Systems Engineering, Solutions Architecture, Technical Consulting, or a related customer-facing technical role. - Strong knowledge of modern data center networking technologies, including: - IP Fabrics - Spine-Leaf Architectures - BGP - EVPN/VXLAN - Hands-on experience with network automation using APIs, Python, Ansible, Terraform, or similar automation frameworks. - Experience presenting complex technical solutions to customers, partners, or field organizations. - Proven ability to build engaging product demonstrations that clearly communicate customer value and business outcomes. - Experience creating high-quality technical content, including presentations, white papers, training materials, solution guides, and technical documentation. - Excellent written and verbal communication skills. - Strong presentation skills with experience delivering technical content at customer meetings, conferences, workshops, or internal events. - Ability to develop compelling technical narratives that clearly communicate customer challenges, solutions, and business value. - Experience supporting enterprise sales organizations through technical enablement, customer presentations, solution development, or RFP responses. - Understanding of enterprise technology sales cycles and customer buying processes. - Ability to effectively prioritize multiple field requests while balancing strategic initiatives and business priorities. Preferred Qualifications - Experience with HPE Apstra or other intent-based networking platforms. - Knowledge of intent-based networking, model-driven automation, or software-defined networking technologies. - Experience with AI-assisted networking, agentic AI, or large language model (LLM) applications. - Python programming or software development experience. - Experience building automation tools, APIs, proof-of-concepts, or interactive demonstrations. - Familiarity with sales enablement platforms or content management systems. - Industry certifications such as JNCIA, JNCIS, JNCIP-DC, CCNP, CCIE, or equivalent data center networking certifications. Benefits - Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. - Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. - Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Role Description The Senior Data Engineer will design, build and manage data pipelines that power applications and drive business decisions. - Design, develop, and maintain scalable data pipelines to ingest, process, and transform data from various sales and marketing systems such as Salesforce, Pardot, and Adobe Analytics into the enterprise data warehouse. - Conduct business and systems analysis, design, implementation, and testing of data solutions to meet and exceed the expectations of our business partners and regulators. - Self-manage projects, participate in strategy and architecture reviews, and help shape the direction of data management within the organization. - Ensure data quality, integrity, and consistency by implementing data validation and cleansing processes. - Develop strong domain expertise and lead all aspects of the SLAs for those data pipelines. - Collaborate with various teams, including data scientists, analysts, and business partners, to understand data requirements and deliver high-quality data solutions. - Optimize and tune data pipelines for performance, scalability, and consistency with recommended design patterns. - Monitor and address data pipeline issues and collaborate with our support teams to ensure timely and accurate data delivery. - Stay up to date with the latest industry trends in data engineering and financial services, following standard methodologies. Qualifications - Bachelor's degree in computer science, information technology, or related field. - Eight (8) years of progressively more responsible experience as a software engineer with a focus on data. Requirements - Expertise to efficiently extract data from databases, CRM systems, and APIs to build maintainable and supportable ETL code using Informatica gained through eight (8) years of work experience. - Ability to extract data from multiple data sources using Python gained through three (3) years of work experience. - Expertise in SQL for ETL and data warehousing applications gained through eight (8) years of work experience. - Proficiency with data warehousing and financial datasets gained through five (5) years of work experience. - Ability to architect and design data pipeline and data warehouse solutions for the whole software development life cycle gained through five (5) years of work experience. - Ability to develop solutions on AWS or other public cloud services gained through five (5) years of work experience. Benefits - Expected annual base salary for this Boston, MA, based position is $185,000 - $195,000. - Base pay will be determined on an individualized basis and is only part of the total compensation package, which may also include other Natixis sponsored benefit programs. - 100% Telecommuting is available for this position from anywhere in the U.S. - This position is eligible for Natixis’ Employee Referral Program.

• Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark. • Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform. • Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements. • Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions. • Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls. • Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process. • Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.