Senior Data Engineer
WFA Digital Insight
The demand for skilled data engineers has skyrocketed in recent years, with a 25% increase in job postings in 2025 alone. As companies continue to invest in digital transformation, professionals with expertise in cloud data architecture and DataOps are in high demand. Kyndryl, a leading provider of IT services, is seeking a Senior Data Engineer to lead the delivery of high-impact analytics solutions. With a strong focus on remote work and digital skills, this role offers a unique opportunity for professionals to work with a flexible and supportive team. Before applying, candidates should be aware of the company's emphasis on innovation, customer satisfaction, and employee well-being.
Job Description
About the Role
The Senior Data Engineer role at Kyndryl is a unique opportunity for experienced professionals to lead the delivery of high-impact analytics solutions. As a Senior Data Engineer, you will be responsible for designing and deploying modern data architectures, leading technical teams, and coordinating data engineering strategies. You will work closely with cross-functional teams to ensure that data engineering solutions meet business requirements and are aligned with the company's overall strategy.The role requires a strong technical background, with expertise in cloud data architecture, DataOps, and data engineering. You will be responsible for ensuring the scalability, quality, and agility of data engineering solutions, as well as leading the implementation of DataOps methodologies to optimize the data lifecycle.
Kyndryl is a leading provider of IT services, with a strong focus on innovation, customer satisfaction, and employee well-being. The company offers a flexible and supportive work environment, with opportunities for professional growth and development.
What You Will Do
- Design and deploy modern data architectures on cloud platforms such as Google Cloud, Microsoft Azure, and AWS
- Lead technical teams and coordinate data engineering strategies
- Ensure the scalability, quality, and agility of data engineering solutions
- Implement DataOps methodologies to optimize the data lifecycle
- Collaborate with cross-functional teams to ensure that data engineering solutions meet business requirements
- Develop and maintain technical documentation and data architecture diagrams
- Ensure compliance with data governance and security policies
- Participate in the design and implementation of data analytics and machine learning solutions
- Collaborate with data scientists and analysts to ensure that data engineering solutions meet business requirements
What We Are Looking For
- 5+ years of experience in data engineering, with a strong background in cloud data architecture and DataOps
- 4+ years of experience in leading technical teams and coordinating data engineering strategies
- 3+ years of experience in designing and implementing data analytics and machine learning solutions
- 2+ years of experience in working with Docker and Kubernetes for containerization and orchestration
- Strong technical skills in cloud data architecture, DataOps, and data engineering
- Experience with data governance and security policies
- Strong communication and collaboration skills
- Bachelor's degree in Computer Science, Engineering, or a related field
Nice to Have
- Experience with Google Cloud Platform, Microsoft Azure, or AWS
- Experience with DataOps tools such as Apache Airflow, Apache Beam, or Apache Spark
- Experience with data analytics and machine learning tools such as Tableau, Power BI, or Python
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Certification in data engineering, data architecture, or a related field
Benefits and Perks
- Competitive salary and benefits package
- Flexible and supportive work environment
- Opportunities for professional growth and development
- Remote work options and flexible scheduling
- Access to cutting-edge technologies and tools
- Collaborative and dynamic team environment
- Comprehensive health and wellness programs
- Generous paid time off and holidays
- Employee recognition and reward programs
How to Stand Out
- Highlight your experience with cloud data architecture and DataOps in your resume and cover letter.
- Showcase your technical skills in data engineering, including proficiency in programming languages such as Python, Java, or Scala.
- Emphasize your ability to lead technical teams and coordinate data engineering strategies.
- Be prepared to discuss your experience with data governance and security policies, as well as your knowledge of data analytics and machine learning tools.
- Research the company's products and services, and be prepared to discuss how your skills and experience align with their needs.
- Prepare examples of your experience with containerization and orchestration tools, such as Docker and Kubernetes.
- Be ready to discuss your experience with agile development methodologies and your ability to work in a fast-paced environment.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.