
Senior Data Platform Engineer
8 hours ago
We are seeking an exceptional technology leader to spearhead the design and implementation of our data platforms. This is a challenging opportunity for a visionary individual who can drive innovation, collaboration, and delivery across our global teams.
The successful candidate will have a strong track record of leading technical projects from concept to delivery, with a deep understanding of cloud-based infrastructure, data engineering, and software development principles.
Key Responsibilities:
- Technical Leadership & Delivery: Lead cross-functional teams to define and deliver technical roadmaps, ensuring timely completion of projects and alignment with business objectives.
- Architecture & Direction: Collaborate with stakeholders to develop and implement data platform architectures, ensuring scalability, reliability, and security.
- Data Pipelines: Design, build, and operate efficient data pipelines that handle large volumes of data, ensuring high-quality output and minimal latency.
- Transformations & Modeling: Develop and implement data transformation and modeling strategies that meet business requirements, using techniques such as SQL, Python, and data visualization tools.
- APIs & Integration: Develop RESTful APIs and integrate them with internal systems, ensuring seamless data exchange and adherence to security standards.
- Infrastructure & DevOps: Manage cloud resources, automate deployment and testing, and ensure continuous integration and delivery (CI/CD) practices are followed.
- Observability & Reliability: Implement monitoring and logging tools to ensure system reliability, performance, and security, identifying areas for improvement and driving enhancements.
Required Skills & Qualifications:
- Strong Technical Background: Proven expertise in cloud-based infrastructure, data engineering, and software development, including languages such as Python, Java, or C++.
- Leadership & Collaboration: Excellent leadership and communication skills, with experience in managing cross-functional teams and collaborating with stakeholders.
- Cloud Computing: Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, with experience in designing and deploying scalable and secure cloud-based architectures.
- Data Engineering: Strong understanding of data engineering principles, including data warehousing, ETL, and data quality.
- DevOps & Automation: Experience with CI/CD tools, containerization, and automation scripts, ensuring smooth deployment and operation of systems.
- Security & Compliance: Understanding of security principles and compliance regulations, with experience in implementing secure data storage, transmission, and processing.
Benefits:
- Competitive Salary: Market-leading compensation package, based on experience and qualifications.
- Flexible Work Arrangements: Remote work options available, with flexible hours and vacation time.
- Professional Development: Opportunities for growth and professional development, including training, mentorship, and career advancement.
Apply now by sharing your resume, a brief note about your recent project experience, and any relevant code samples or design documents.
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