Primary Responsibilities
- Client Engagement & Delivery
- Data Pipeline Development (Batch and Streaming)
- Databricks & Lakehouse Architectures
- Data Modelling & Optimisation (Delta Lake, Medallion architecture)
- Collaboration & Best Practices
- Quality, Governance & Security
- Business Relationships
- Solution Architects
- Data Engineers, Developers, ML Engineers, and Analysts
- Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
Key Competencies
- Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.
- Strong consulting values with ability to collaborate effectively in client-facing environments.
- Hands‑on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
- Strong problem‑solving, analytical, and communication skills.
- Experience leading or mentoring teams of engineers to deliver high‑quality scalable data solutions.
Technical Expertise
- Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).
- Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
- Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
- Hands‑on experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with Databricks Workflows and other orchestration tools.
- Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
- Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
- Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
- Understanding of data governance, security, and compliance frameworks.
- Exposure to AI/ML workloads desirable.
Experience, Qualifications, and Education
- Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
- Education: University degree required.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
- Databricks certifications (Data Engineer Professional) highly desirable.
Measures of Success
- Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
- High client satisfaction and successful adoption of Databricks-based solutions.
- Demonstrated ability to innovate and improve data engineering practices.
- Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
NTT DATA is a proud 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.
Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society? Join our growing global NTT family and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future. We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. We believe it’s key to what makes us different. So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world. The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport. Together we enable the connected future. You’ll be joining a global employer that is committed to attracting, growing and keeping the best talent. A place where you will be at the heart of our success!
#J-18808-Ljbffr
Databricks Lead Engineer employer: NTT Limited
At NTT DATA, we pride ourselves on being a global leader in technology services, offering an inclusive and dynamic work environment where innovation thrives. As a Snowflake Solution Architect, you will have the opportunity to work with cutting-edge technologies while collaborating with diverse teams, ensuring your professional growth and development. Our commitment to employee well-being and continuous learning makes NTT DATA an exceptional employer for those looking to make a meaningful impact in the tech industry.