Chief Data Engineer

We are seeking a highly experienced data engineer to define and execute our data strategy, driving the development of robust, scalable, and high-performance data infrastructure.

The ideal candidate will lead a team of data engineers, ensuring our data ecosystem meets the evolving needs of our enterprise data platform, APIs, advanced analytics, and other business requirements across the organization.

• Strategic Leadership: Develop and implement the vision, strategy, and roadmap for the enterprise data platform, ensuring alignment with overall business goals and seamless integration with other technological functions.
• Team Development: Recruit, mentor, and lead a high-performing team of data engineers, fostering a culture of continuous learning, innovation, and collaboration.
• Data Infrastructure: Build and maintain scalable data pipelines and infrastructure to power analytics, business intelligence, and delivery of data—optimizing for both efficiency and cost-effectiveness.
• Cross-Functional Collaboration: Partner with architectural teams, data strategy, data governance, data science, analytics, product management, and infrastructure teams across the global organization to design and implement solutions that maximize data's strategic value.
• Data Governance & Compliance: Ensure our enterprise data ecosystem maintains standard controls for data governance, security, and compliance, adhering to frameworks like GDPR, HIPAA, and CCPA.
• Automation & Reliability: Drive automation in data processing and infrastructure management, implementing robust monitoring, alerting, and self-healing capabilities to enhance system reliability.
• Technology Evaluation: Continuously evaluate, select, and integrate new tools and technologies, ensuring the data engineering ecosystem remains state-of-the-art.
• Documentation & Enablement: Oversee the creation of comprehensive documentation, training materials, and knowledge-sharing resources to empower teams across the organization.
• Vendor & Stakeholder Management: Manage relationships with third-party vendors, performing technology assessments and ensuring optimal return on investment.
• Thought Leadership: Serve as an advocate for data-driven decision-making, championing the strategic value of data engineering and influencing stakeholders at all levels.

Requirements:

• Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a closely related field (or foreign equivalent).
• 10+ years in data engineering, including at least 5 years in a leadership role overseeing large-scale data initiatives.
• Proven expertise in managing large-scale data architecture and distributed systems.
• Cloud Platforms: At least 7 years of hands-on experience with major cloud platforms (AWS, GCP, or Azure) and data technologies (Spark, Kafka, Snowflake, Redshift, Databricks, BigQuery, Hadoop) among others.
• Programming: Strong proficiency in SQL, Python, Java, or Scala, along with experience in frameworks like Apache Beam, Flink, or Airflow.
• ETL & Streaming: In-depth knowledge of ETL pipelines, data warehousing, and real-time streaming architectures.
• Containerization & Orchestration: Expertise with Docker and Kubernetes in data applications.
• Data Governance & Security: Deep understanding of IAM, encryption standards, and compliance requirements.
• DevOps & CI/CD: Proficiency in CI/CD practices and DevOps methodologies for data engineering workflows.
• Leadership & Communication: Exceptional leadership and stakeholder management skills, with the ability to influence diverse teams and executive partners.

Benefits:

This is a great opportunity to work with a talented team, drive innovation, and make a meaningful impact on the organization.

About Us:

Our organization is committed to providing equal opportunities in employment, without discrimination against any person based on gender, race, color, nationality, ethnic or national origin, religion, sexual orientation, marital status, disability, age, or any other characteristic protected by law.