Senior Data Platform Engineer – Machine Learning, Cloud Architecture & Data Operations at careerzynith – $25/hr Competitive Compensation

About careerzynith – Pioneering the Future of Flight

At careerzynith, we are on a relentless journey to become the world’s most innovative airline, redefining how people travel across continents and oceans. Our ambition is fueled by a diverse community of thinkers, creators, and problem‑solvers who share a common passion for aviation excellence. With a rapidly expanding global footprint, careerzynith is investing heavily in cutting‑edge technology, data‑driven decision making, and sustainable growth. As we scale our operations, we are looking for visionary talent to join our Advanced Innovation team and help shape the next generation of airline experiences.

Why This Role Matters

The Ranking Director, ML Engineering and Data Operations is a cornerstone of careerzynith’s data strategy. In this role, you will architect and own enterprise‑wide machine‑learning platforms, build resilient data pipelines, and champion best practices that empower every line of business—from flight operations to customer experience. Your work will directly influence how careerzynith leverages data to improve safety, optimize routes, personalize passenger services, and drive operational efficiency.

Key Responsibilities

• Strategic Collaboration: Partner with product owners, engineering leads, and cross‑functional stakeholders to design innovative technical solutions that unlock new business capabilities.
• Platform Design & Development: Lead the design, implementation, and scaling of data platform components using modern cloud technologies, ensuring high availability, low latency, and robust security.
• Machine‑Learning Enablement: Build and maintain end‑to‑end ML pipelines that support model training, deployment, monitoring, and continuous improvement across the organization.
• Infrastructure as Code: Define and manage serverless architectures and infrastructure using Terraform, CloudFormation, and other IaC tools to guarantee repeatable, auditable deployments.
• Mentorship & Leadership: Provide technical guidance, coaching, and mentorship to junior engineers, fostering a culture of learning and innovation.
• Observability & Governance: Implement observability frameworks (e.g., OpenTelemetry, OpenLineage, Marquez) and data quality tools (e.g., Great Expectations, Deequ) to ensure data integrity and compliance.
• Continuous Improvement: Drive adoption of DevOps best practices, CI/CD pipelines, and automated testing to accelerate delivery cycles while maintaining rigorous standards.
• Performance Optimization: Diagnose and resolve performance bottlenecks in large‑scale data pipelines, leveraging tools such as Apache Spark, Flink, and Kafka.
• Security & Compliance: Enforce security policies, manage IAM roles, and ensure platform compliance with industry regulations and internal standards.

Essential Qualifications (Minimum Requirements)

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 8 years of professional experience designing and operating large‑scale data pipelines and cloud infrastructure.
• Minimum 4 years of hands‑on experience with cloud platforms (AWS preferred), including services such as EC2, S3, IAM, Lambda, Kinesis, SNS, and Step Functions.
• Proven expertise in infrastructure‑as‑code tools (Terraform, CloudFormation) and serverless architectures.
• Strong programming skills in Python, Java, or Scala, with a solid grasp of data processing frameworks (PySpark, Apache Beam, Flink).
• Demonstrated experience leading cross‑functional teams that design, build, or support data platforms on AWS.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, CodePipeline) and version control systems (Git).
• Eligibility to work in the United States without sponsorship.

Preferred Qualifications (What Sets You Apart)

• AWS certifications such as Solutions Architect – Professional, DevOps Engineer, or Data Analytics.
• Hands‑on experience with data quality frameworks like Great Expectations, Deequ, or similar.
• Deep knowledge of Linux operating systems and container orchestration (Docker, Kubernetes).
• Experience with observability stacks (OpenTelemetry, Prometheus, Grafana) and lineage tools (OpenLineage, Marquez).
• Background in airline or transportation industries, understanding of flight operations data.
• Track record of publishing or contributing to open‑source projects related to data engineering or ML platforms.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and devise scalable solutions.
• Communication: Clear articulation of technical concepts to both technical and non‑technical audiences.
• Leadership: Proven capability to inspire, mentor, and guide teams toward shared goals.
• Adaptability: Comfort working in a fast‑paced, ever‑changing environment with shifting priorities.
• Collaboration: Strong partnership mindset, working effectively across product, data science, and operations teams.
• Customer‑Centric Mindset: Understanding how data platforms directly impact passenger experience and operational safety.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $25 per hour, complemented by a comprehensive benefits package designed to support your health, wealth, and well‑being.

• Health & Wellness: Medical, dental, and vision coverage; prescription drug plans; Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
• Financial Security: 401(k) retirement plan with company match, employee stock purchase program, and profit‑sharing opportunities.
• Insurance Protection: Life insurance, accidental death & dismemberment (AD&D), short‑term and long‑term disability coverage.
• Paid Time Off: Generous vacation, paid holidays, and sick leave to ensure work‑life balance.
• Education & Development: Tuition reimbursement for approved courses, certifications, and continuous learning initiatives.
• Career Growth: Structured career pathways, leadership development programs, and internal mobility across global teams.
• Employee Assistance: Confidential counseling services, legal and financial advice, and family support resources.
• Travel Benefits: Discounted and complimentary airline tickets for employees and eligible family members, plus priority boarding.
• Flexible Work Arrangements: Options for remote or hybrid work where role responsibilities allow.
• Recognition Programs: Awards and incentives that celebrate technical excellence, innovation, and teamwork.

Work Environment & Culture at careerzynith

Our culture is built on the belief that diversity of thought fuels innovation. careerzynith celebrates a workforce that reflects the global community we serve, encouraging every employee to bring their authentic self to work. You will find:

• Inclusive Atmosphere: Employee Resource Groups (ERGs) for underrepresented communities, mentorship programs, and regular inclusion workshops.
• Innovation Hubs: Dedicated labs where engineers experiment with emerging technologies such as AI‑driven predictive maintenance, quantum computing, and edge analytics.
• Collaborative Spaces: Open‑plan offices, quiet zones, and virtual collaboration tools that enable seamless teamwork across continents.
• Safety First: Rigorous safety protocols, continuous training, and a shared responsibility for passenger and crew well‑being.
• Sustainability Commitment: Initiatives aimed at reducing carbon emissions, investing in sustainable aviation fuel, and supporting environmental stewardship.

Career Development & Learning Opportunities

careerzynith invests heavily in your professional growth. As a Data Platform Engineer, you will have access to:

• Mentorship from senior architects and industry veterans.
• Sponsored certifications (AWS, GCP, Azure, Kubernetes, etc.).
• Internal hackathons and innovation challenges with prize incentives.
• Rotational programs that allow exposure to different business units, from flight operations to revenue management.
• Leadership training pathways that prepare you for future senior management roles.

How to Apply

If you are ready to elevate careerzynith’s data capabilities and help us soar to new heights, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter outlining why you are the perfect fit for this transformative role.

Apply Now – Join careerzynith’s Data Revolution

Closing Thoughts

At careerzynith, your expertise will not only power the airline of tomorrow but also shape an industry that connects people, cultures, and economies worldwide. We value curiosity, resilience, and a relentless drive to innovate. Take the next step in your career and become part of a team that is redefining the future of flight.

We look forward to welcoming you aboard.