Senior Enterprise Data Professional

A successful Senior Data Architect is responsible for leading the design and development of data engineering projects. This role applies expertise to all aspects of the data engineering lifecycle, partnering with stakeholders daily to stay focused on common goals.

The ideal candidate will lead large-scale data engineering, integration, and warehousing projects, build custom integrations between cloud-based systems using APIs, and write complex queries to transform raw data sources into accessible models. Additional responsibilities include architecting, building, and launching new data models that provide intuitive analytics and building data expertise while owning data quality for pipelines created.

• Provide strategic leadership and direction to the software development team, fostering innovation, collaboration, and continuous improvement.
• Develop and implement a robust software development strategy aligned with the company's objectives and long-term vision.
• Collaborate with product management to define software requirements, scope, and priorities, ensuring alignment with business goals.
• Lead and guide the software development team in creating technical design specifications, architecture, and development plans for complex software projects.
• Ensure adherence to industry best practices, coding standards, and software development methodologies to deliver high-quality and scalable software solutions.
• Monitor and analyze software development metrics and KPIs to track team productivity, efficiency, and code quality.

• Bachelor's or master's degree in computer science, software engineering, or a related field. An advanced degree is preferred.
• Proven experience (minimum 7+ years) 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, and experience in transitioning teams to these methodologies.
• Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and inspire cross-functional teams.
• Exceptional problem-solving and decision-making abilities, with a keen attention to detail and a focus on delivering high-quality products.
• 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.
• A passion for innovation, technology, and keeping abreast of the latest developments in the software industry.
• Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms.
• Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience.
• 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, and knowledge of deploying and managing APIs in a cloud environment.
• Knowledge of API gateway solutions and their implementation, such as Kong, Apigee, or AWS API Gateway.

• Exposure to Big Data tools and solutions is a strong plus.
• Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data.
• Experience in Design and architecture review and Banking and Financial domain.