Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
The Director, Data Engineering is a leadership role accountable for operationally managing a Data Engineering Team.
The Data Engineering Practice lead will lead the design, development of the enterprise data platform and pipelines.
This role is further responsible for overseeing SAP data migrations, ensuring seamless integration and transformation of legacy systems into modern cloud-based architectures.
The person will drive innovation, scalability, and governance in data engineering practices while managing a high-performing team.
Key Responsibilities:
- Manages a team of Managers and Data Engineers to ensure achievement of team objectives/KPIs and through continuous coaching and mentoring helps the team to understand and apply data to solve business solutions.
- Develop the new Data Platform - Execute the data engineering strategy per the selected platform.
- SAP Data Migration - Lead end-to-end SAP data migration projects, including planning, mapping, transformation, and validation.
- Engineering Team Leadership - Build and manage a team of data engineers and technical leads. Foster a culture of innovation, collaboration, and continuous improvement.
- Data Pipeline Development - Oversee development of robust ETL/ELT pipelines using Azure Data Factory, Databricks, Snowflake Streams/Tasks, and SAP tools. Ensure pipelines are optimized for performance, reliability, and cost-efficiency.
- Data Management - partner with data management practice lead and governance lead to ensure adherence to data quality, lineage, and security standards. Implement monitoring and alerting for data pipeline health and SLA compliance.
- Stakeholder Engagement - Collaborate with business units and the internal analytics teams and IT to align data engineering efforts with strategic goals. Translate business requirements into scalable technical solutions.
- Ensure industry standards best practices are applied to development activities and continuously ensures the team remains abreast of latest technology and tools in the area of data engineering.
- Works across multiple areas on data set to ensure solutions are successfully executed, within agreed upon time frames.
Knowledge and Attributes:
- Excellent ability to thrive in a dynamic, fast-paced environment.
- Strong quantitative and qualitative analysis skills.
- Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
- Strong curiosity to sift through data to find answers and more insights.
- Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
- Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
- Excellent ability to create a storyline around the data to make it easy to interpret and understand.
- Self-driven and able to work independently yet acts as a team player.
- Excellent ability to apply data science principles through a business lens.
- Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
- Excellent ability to think strategically about how to use data to drive competitive advantages.
- Excellent management and leadership skills.
Academic Qualifications and Certifications:
- Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
- Relevant programming certification preferred.
- Agile certification preferred.
Required experience:
- Significant demonstrable experience with one or more programming languages, statistical packages and database languages.
- Significant demonstrable experience with data warehouse and data lake technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
- Significant demonstrable experience applying statistical methods to solve business problems.
- Significant demonstrated experience with distributed data platform tools such as MS Azure, SAP Snowflake, Spark, MySQL, etc.
- Significant demonstrated experience in working in micro-services architecture working with APIs development.
- Significant demonstrable experience of full-stack software development with prolific coding abilities.
- Significant demonstrated experience with Agile Development Methodologies and Test-Driven Development.
- Solid line manager experience leading and managing a team of Data Engineering Teams
Workplace type:
Hybrid Working
About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
