**Enterprise Customer Engineer, Data Analytics, Technology**

Join arenaflex, a leading technology company, as an Enterprise Customer Engineer, Data Analytics, Technology, and be part of a dynamic team that accelerates every organization's ability to digitally transform its business and industry. As a key member of our North America Technical Team, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate arenaflex to our customers. You will help prospective and existing customers and partners understand the power of arenaflex, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends, and all aspects of the data life-cycle.

• *About arenaflex**

arenaflex is a cutting-edge technology company that delivers enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Our customers in more than 200 countries and territories turn to arenaflex as their trusted partner to enable growth and solve their most critical business problems. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

• *About the Role**

As a North America Technical Team Data Analytics Customer Engineer, you will be responsible for:

• Working with teams across North America to identify and qualify business opportunities related to data analytics, understand key customer objections, and develop the strategy to resolve technical blockers in relation to aspects of the data life-cycle.
• Sharing data analytics expertise to support the technical relationship with customers, including advocacy, supporting bid responses, product and solution briefings, POC work, and partnering with product management to prioritize solutions impacting adoption to arenaflex.
• Identifying business and technical requirements, conducting full technical discovery, and architecting client solutions to meet gathered requirements.
• Preparing and delivering sales messaging in an effort to highlight the arenaflex value proposition, using techniques such as whiteboards, presentations, product demonstrations, whitepapers, and RFI responses.
• Interlocking with Product Management and influencing the product roadmap through thought leadership, providing customer feedback, and triaging blockers to workload migrations.

• *Responsibilities**

• Work with teams across North America to identify and qualify business opportunities related to data analytics, understand key customer objections, and develop the strategy to resolve technical blockers in relation to aspects of the data life-cycle.
• Share data analytics expertise to support the technical relationship with customers, including advocacy, supporting bid responses, product and solution briefings, POC work, and partnering with product management to prioritize solutions impacting adoption to arenaflex.
• Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
• Prepare and deliver sales messaging in an effort to highlight the arenaflex value proposition, using techniques such as whiteboards, presentations, product demonstrations, whitepapers, and RFI responses.
• Interlock with Product Management and influence the product roadmap through thought leadership, providing customer feedback, and triaging blockers to workload migrations.

• *Qualifications**

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

• *Preferred Qualifications**

• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Understanding of customer requirements, with the ability to break down requirements and design technical architectures.

• *Skills and Competencies**

• Excellent communication and presentation skills.
• Strong technical skills in cloud native architecture, Big Data technologies, and data analytics.
• Ability to work in a fast-paced environment and prioritize multiple tasks and projects.
• Strong problem-solving skills and ability to think critically.
• Excellent collaboration and teamwork skills.
• Ability to influence and persuade technical stakeholders and executive leaders.

• *Work Environment and Company Culture**

• arenaflex is a hybrid workplace that includes remote and in-office roles.
• Our in-office locations include Reston, VA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Miami, FL, USA.
• Our remote location(s) include the United States.
• We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected.
• We offer a range of benefits and perks, including competitive salary, bonus, equity, and benefits.

• *Compensation and Benefits**

• The US base salary range for this full-time position is $159,000-$239,000 + bonus + equity + benefits.
• Our salary ranges are determined by role, level, and location.
• The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations.
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• *How to Apply**

If you are a motivated and experienced professional looking to join a dynamic team and accelerate every organization's ability to digitally transform its business and industry, please apply to this role. We look forward to hearing from you!