Senior Data Engineering Manager

This role involves leading the design and development of data engineering projects. You will work closely with stakeholders to identify business needs and develop solutions that drive innovation and growth.

You will be responsible for leading large-scale data engineering, integration, and warehousing projects. This includes designing and implementing custom integrations between cloud-based systems using APIs. Additionally, you will write complex and efficient queries to transform raw data sources into easily accessible models.

Your responsibilities will also include developing and maintaining technical designs, architectures, and development plans for complex software projects. You will collaborate with product management to define software requirements, scope, and priorities.

Furthermore, you will ensure adherence to industry best practices, coding standards, and software development methodologies. You will monitor and analyze software development metrics and key performance indicators.

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• Proven experience in a senior leadership role within software development or software engineering.">
• Demonstrated success in delivering complex software projects and products on time and within budget.">
• Extensive experience in software development methodologies, such as Agile, Scrum, or Kanban.">
• Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.">
• Excellent communication, interpersonal, and leadership skills.">
• Exceptional problem-solving and decision-making abilities.">
• Proven track record of building and managing high-performing software development teams.">
• Strong business acumen and the ability to align software development initiatives with broader business objectives.">
• Proficiency with solutions for processing large volumes of data.">
• Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS.">
• Hands-on experience in production rollout and infrastructure configuration.">
• Demonstrable experience of successfully delivering big data projects using Kafka, Spark.">
• Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search.">
• Experience working with PCI Data and working with data scientists is a plus.">
• In-depth knowledge of design principles and patterns.">
• Experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform.">
• Knowledge of API gateway solutions and their implementation.">
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We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.

We are a global leader in financial services technology, driving innovation to help organizations serve people better.

Foster a culture of learning and development within the team. Identify and mitigate potential risks and challenges in software development projects. Stay up to date with industry trends, emerging technologies, and best practices.