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The company is looking to lead the engineering strategy and execution for their Enterprise Data Integration Platform, aiming to deliver scalable, high-performance data solutions for cross-enterprise integration at scale.

Requirements

• Experience with modern data technologies (e.g., NiFi, dbt, Spark, Kafka, Airflow, Snowflake, Databricks).
• Deep expertise in cloud-native architectures, data integration technologies, and distributed systems.
• Strong understanding of data modeling, data pipelines, and real-time data processing.
• Expertise in file and stream based processing is critical.
• Work knowledge in relevant and well supported open source projects is also expected.
• Passion for engineering excellence, including CI/CD, test automation, and observability.
• Ability to architect and deliver enterprise-scale data integration solutions.

Responsibilities

• Leading the development and evolution of the Enterprise Data Integration Platform to support a set of enterprise wide data functions.
• Partnering with cross-functional leaders to define platform strategy, roadmap, and priorities.
• Ensuring high standards of software quality, performance, and scalability.
• Driving engineering best practices and setting coding and architectural standards.
• Mentoring and developing engineering talent to build a high-performing, collaborative team.
• Architect and deliver enterprise-scale data integration solutions.
• Drive prioritized backlog development with incremental value delivered to customers

Other

• 5+ years' experience with people management, coaching and leading a full stack engineering squad of 10+ individuals.
• Proven experience leading engineering teams in the design and delivery of complex data platforms.
• Experience with strategic talent planning, coaching, and mentoring engineering teams.
• Ability to collaborate with analytics, product, and infrastructure teams to align platform capabilities with business needs.
• Ability to lead global teams and foster a culture of innovation and continuous improvement.