About careerzynith and the Opportunity
careerzynith is a global leader in cloud‑based technology solutions, empowering organizations of every size to accelerate digital transformation, innovate faster, and achieve sustainable growth. With a portfolio that spans cutting‑edge infrastructure, data platforms, and AI‑driven services, careerzynith helps customers turn massive data volumes into actionable insights, modernize legacy workloads, and build resilient, future‑ready architectures.
Our North America Technical Team is expanding, and we are looking for a seasoned Enterprise Customer Engineer who will serve as a data analytics subject‑matter expert. In this role, you will partner closely with technical sales teams, product managers, and engineering specialists to showcase the power of careerzynith Cloud, design bespoke data solutions, and drive adoption across a diverse set of industries.
Whether you thrive in a bustling office environment or prefer the flexibility of remote work, careerzynith offers a hybrid workplace model that supports both in‑office collaboration and distributed productivity. Choose the location that best fits your lifestyle from our list of in‑office hubs or work from anywhere in the United States.
Application Window
The application window will remain open until at least August 29, 2024. This opportunity will stay online based on business needs, which may be before or after the specified date.
Work Location Options
In‑office locations: Reston, VA; Atlanta, GA; Austin, TX; Boulder, CO; Cambridge, MA; Miami, FL (USA).
Remote locations: Anywhere within the United States.
Role Overview
As an Enterprise Customer Engineer for Data Analytics, you will act as the technical bridge between careerzynith Cloud’s capabilities and the strategic objectives of our customers. You will:
- Collaborate with sales and solution teams to uncover business challenges and translate them into technical requirements.
- Design, prototype, and demonstrate end‑to‑end data architectures that leverage careerzynith Cloud’s analytics, warehousing, and streaming services.
- Lead proof‑of‑concept (PoC) engagements, guide data migration strategies, and troubleshoot complex data‑life‑cycle issues.
- Present compelling technical narratives to both technical stakeholders and executive leadership, highlighting ROI, performance gains, and scalability.
- Provide feedback to product management, influencing roadmap priorities and ensuring that new features address real‑world customer needs.
Key Responsibilities
Customer Engagement & Solution Design
- Partner with customers across North America to identify, qualify, and prioritize data‑centric business opportunities.
- Conduct deep‑dive discovery sessions to capture functional and non‑functional requirements, data governance policies, and compliance constraints.
- Architect scalable, secure, and cost‑effective solutions that incorporate data lakes, warehouses, ETL/ELT pipelines, and real‑time streaming components on careerzynith Cloud.
- Develop detailed technical designs, including schema definitions, data models, and query‑optimization strategies.
Technical Advocacy & Enablement
- Act as a trusted advisor, delivering product briefings, whitepapers, and technical demos that illustrate careerzynith Cloud’s differentiators.
- Support bid responses, request‑for‑information (RFI) submissions, and competitive positioning against rival platforms.
- Lead PoC initiatives, configure environments, and validate performance benchmarks to prove solution viability.
- Mentor junior engineers and share best practices across the technical sales community.
Collaboration with Product & Engineering
- Provide direct feedback to product management on feature gaps, emerging customer requirements, and usability enhancements.
- Participate in internal forums to influence the product roadmap, ensuring that upcoming releases align with market demand.
- Help triage technical blockers that may impede large‑scale data migrations or workload transformations.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- At least 6 years of experience designing, implementing, or supporting cloud‑native architectures in a customer‑facing or technical support role.
- Proven ability to engage with and present to technical stakeholders as well as executive leadership.
- Hands‑on experience with Big Data technologies or concepts, including but not limited to analytics warehousing, data processing, transformation, governance, migrations, ETL/ELT, SQL/NoSQL, performance tuning, and batch versus streaming workloads.
Preferred Qualifications
- Background in technical sales or consulting within cloud computing, data analytics, or Big Data domains.
- Demonstrated expertise in architecture design, schema development, and query optimization for distributed systems.
- Deep understanding of cloud infrastructure, storage, platform services, and the broader cloud market dynamics.
- Experience building data warehouses, data lakes, real‑time event processing pipelines, and data visualization solutions on cloud‑native platforms.
- Ability to translate complex customer requirements into clear, actionable technical designs.
Core Skills & Competencies
- Data Engineering & Architecture: Proficiency with tools such as BigQuery, Snowflake, Redshift, Databricks, Apache Spark, Kafka, and Airflow.
- Programming & Scripting: Strong command of Python, Java, or Scala for data pipeline development.
- SQL & NoSQL Mastery: Ability to write performant queries, design indexes, and optimize data models.
- Cloud Platforms: Hands‑on experience with careerzynith Cloud services (compute, storage, networking, security) and familiarity with multi‑cloud environments.
- Communication: Exceptional presentation and storytelling skills, capable of simplifying technical concepts for non‑technical audiences.
- Problem Solving: Analytical mindset with a track record of diagnosing and resolving complex data‑related issues.
- Collaboration: Team‑oriented attitude, comfortable working across sales, product, and engineering functions.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:
- Continuous learning pathways, including certifications for careerzynith Cloud, data engineering, and AI/ML specialties.
- Mentorship programs that pair you with senior architects and industry thought leaders.
- Opportunities to lead high‑visibility customer engagements that can accelerate your path to senior technical or leadership positions.
- Cross‑functional projects that broaden your expertise beyond data analytics into areas such as security, DevOps, and product management.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that reflects the importance of this role:
- Base Salary: Ranges from $159,000 to $239,000, calibrated by location, experience, and skill set.
- Variable Compensation: Annual performance‑based bonus and equity grants that align your success with the company’s growth.
- Health & Wellness: Comprehensive medical, dental, vision, and mental‑health coverage.
- Retirement Savings: 401(k) plan with generous company matching.
- Work‑Life Balance: Flexible work arrangements, generous paid time off, and parental leave programs.
- Learning Stipends: Annual budget for conferences, courses, and certifications.
- Employee Resource Groups: Communities that celebrate diversity, foster inclusion, and provide networking opportunities.
Work Environment & Culture at careerzynith
careerzynith cultivates a culture of respect, inclusion, and continuous innovation. Our employees enjoy:
- A collaborative atmosphere where ideas are welcomed from every level of the organization.
- Access to state‑of‑the‑art labs, sandbox environments, and data sets for experimentation.
- Regular town‑halls, hackathons, and innovation challenges that encourage creative problem‑solving.
- Commitment to sustainability, with initiatives that reduce carbon footprints and promote responsible technology use.
Equal Opportunity Statement
careerzynith is proud to be an equal‑opportunity workplace and an affirmative‑action employer. We are committed to providing equal employment opportunities 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 legal requirements. If you require accommodation due to a disability or special need, please let us know by completing our Accommodations for Applicants form.
How to Apply
If you are ready to influence the future of data analytics on careerzynith Cloud, inspire customers, and grow your career within a world‑class technology organization, we encourage you to submit your application today.
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Join careerzynith and Shape the Data‑Driven Future
At careerzynith, your expertise will directly impact how leading enterprises harness data to drive strategic decisions, innovate products, and stay ahead of competition. Become part of a diverse, high‑performing team that values curiosity, collaboration, and the relentless pursuit of excellence. We look forward to welcoming you aboard.
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