Senior Enterprise Customer Engineer – Data Analytics & Cloud Technology Solutions at careerzynith

Why careerzynith?

careerzynith is a global leader in cloud‑enabled data transformation, helping organizations of every size unlock the power of data to drive innovation, efficiency, and sustainable growth. With a portfolio that spans cutting‑edge analytics platforms, scalable data warehouses, and intelligent AI services, careerzynith empowers more than 200 countries and territories to modernize their operations, accelerate digital transformation, and stay ahead of competitive pressures. Our culture is built on curiosity, collaboration, and a relentless focus on customer success. Whether you are a seasoned technologist or an emerging talent, careerzynith offers a vibrant, inclusive environment where ideas flourish, careers accelerate, and impact is measured in real‑world outcomes.

Position Overview

As a North America Technical Team Data Analytics Customer Engineer at careerzynith, you will serve as the trusted technical advisor for our enterprise customers and partners. You will partner closely with technical sales teams, product managers, and engineering groups to showcase careerzynith’s data analytics capabilities, design robust cloud architectures, and guide customers through complex data migrations, governance, and real‑time processing challenges. This role blends deep technical expertise with consultative selling, enabling you to influence strategic decisions, shape product roadmaps, and deliver measurable business value.

Application Window

The application window will remain open until at least October 1, 2024. The posting may stay online beyond this date based on business needs, and may close earlier if the role is filled.

Work Location Flexibility

careerzynith embraces a hybrid workplace model that combines remote and in‑office collaboration. Candidates can indicate their preferred work setting from the options below:

• In‑office locations: Reston, VA; Atlanta, GA; Austin, TX; Boulder, CO; Cambridge, MA; Miami, FL (all United States).
• Remote locations: Any location within the United States.

Key Responsibilities

• Collaborate with North American sales and technical teams to identify, qualify, and prioritize business opportunities that align with careerzynith’s data analytics portfolio.
• Engage directly with technical stakeholders and executive leaders to uncover pain points, articulate requirements, and propose tailored solutions that address the full data lifecycle—from ingestion and transformation to storage, analytics, and visualization.
• Design, prototype, and present end‑to‑end cloud architectures, including data warehouses, data lakes, streaming pipelines, and ELT/ETL workflows, ensuring scalability, performance, and security best practices.
• Lead proof‑of‑concept (POC) initiatives, conduct hands‑on workshops, and provide technical guidance throughout migration projects, data modernization efforts, and analytics platform deployments.
• Develop compelling sales messaging, whitepapers, presentations, and product demonstrations that highlight careerzynith’s unique value proposition and differentiate our solutions in competitive scenarios.
• Partner with product management to relay customer feedback, influence roadmap priorities, and help shape future features that accelerate adoption of careerzynith’s data services.
• Act as an internal advocate for customers, supporting bid responses, RFI/RFP processes, and solution briefings while ensuring technical accuracy and alignment with business objectives.
• Continuously stay abreast of emerging data technologies, cloud trends, and industry regulations to provide forward‑looking advice and maintain careerzynith’s position as a thought leader.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• At least 6 years of hands‑on experience designing, implementing, or supporting cloud‑native architectures in a customer‑facing or technical support capacity.
• Proven ability to engage with and present to both technical audiences and senior executive leaders, translating complex concepts into clear business outcomes.
• Solid foundation in Big Data technologies and concepts, including data warehousing, data processing, transformation, governance, migrations, ETL/ELT, SQL, NoSQL, performance tuning, and the distinction between batch and streaming workloads.

Preferred Qualifications

• Experience in technical sales, consulting, or solution engineering within cloud computing, data analytics, or Big Data domains.
• Demonstrated expertise in architecture design, schema modeling, query optimization, and the tuning of distributed, scalable systems.
• Deep understanding of cloud infrastructure, storage, platform services, and the broader cloud market dynamics, including customer buying behavior.
• Hands‑on experience building data warehouses, data lakes, real‑time event processing pipelines, streaming architectures, and data visualization solutions on cloud‑native platforms.
• Ability to dissect complex customer requirements, break them down into actionable technical components, and craft robust, future‑proof architectures.

Core Skills & Competencies

• Technical Acumen: Mastery of cloud platforms (e.g., careerzynith Cloud), data engineering tools, and modern analytics stacks.
• Communication: Exceptional verbal and written communication skills, with the ability to craft persuasive narratives for diverse audiences.
• Problem Solving: Strong analytical mindset, capable of diagnosing intricate technical issues and delivering pragmatic solutions quickly.
• Collaboration: Proven team player who thrives in cross‑functional environments, building strong relationships with sales, product, and engineering teams.
• Leadership: Ability to mentor junior engineers, lead workshops, and influence stakeholders without direct authority.
• Adaptability: Comfort with fast‑paced, evolving technology landscapes and the agility to pivot strategies as customer needs change.

Compensation, Benefits & Perks

careerzynith offers a competitive total rewards package that reflects the expertise and impact of this role. While exact figures vary by location and experience, the base salary range for this full‑time position in the United States typically falls between $159,000 and $239,000, complemented by performance‑based bonuses, equity participation, and a comprehensive benefits suite. Our benefits program includes:

• Health, dental, and vision coverage with generous employer contributions.
• Retirement savings plans with matching contributions.
• Paid time off, parental leave, and flexible work schedules to support work‑life balance.
• Professional development allowances, tuition reimbursement, and access to industry‑leading training platforms.
• Employee resource groups, mentorship programs, and diversity & inclusion initiatives that foster a sense of belonging.
• Wellness programs, on‑site fitness facilities (where applicable), and virtual wellness resources.
• Opportunities to attend global conferences, hackathons, and internal innovation challenges.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is shaped by your ambition and the breadth of experiences you pursue. In this role you will:

• Gain exposure to Fortune‑500 enterprises and high‑growth startups, expanding your industry knowledge across finance, healthcare, retail, and more.
• Collaborate with world‑class product managers and engineers, influencing product direction and gaining deep product expertise.
• Develop a portfolio of successful data migration and analytics implementations that can serve as case studies for future engagements.
• Access a structured career ladder that includes pathways to senior technical leadership, solution architecture, or strategic account management.
• Participate in careerzynith’s internal certification programs, earning credentials that validate your expertise in cloud data solutions.

Work Environment & Culture at careerzynith

careerzynith prides itself on a culture of respect, inclusion, and continuous learning. Our teams are diverse, globally distributed, and united by a shared purpose: to help customers turn data into decisive action. Key cultural pillars include:

• Innovation First: We encourage experimentation, rapid prototyping, and the sharing of ideas across all levels.
• Customer Obsession: Every decision is filtered through the lens of delivering tangible value to our customers.
• Collaboration & Trust: Open communication channels, cross‑team mentorship, and a supportive environment empower individuals to succeed.
• Equity & Belonging: careerzynith is committed to equal opportunity employment, fostering a workplace where every voice is heard and celebrated.

Commitment to Equality & Inclusion

careerzynith is an equal‑opportunity employer. We celebrate diversity and are dedicated to creating an inclusive environment for all employees, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other characteristic protected by law. We also consider qualified applicants with criminal histories in accordance with applicable regulations. If you require accommodation during the application or interview process, please let us know.

How to Apply

If you are ready to drive transformative data initiatives, influence cutting‑edge cloud product strategy, and work alongside some of the brightest minds in the industry, we invite you to submit your application today. Click the link below to begin your journey with careerzynith.

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Join careerzynith and Shape the Future of Data

At careerzynith, your expertise will not only help customers solve today’s toughest data challenges but also pave the way for tomorrow’s innovations. We look forward to welcoming a passionate, forward‑thinking professional who is eager to make an impact. Apply now and become a catalyst for data‑driven success.