Manager, Data Engineer at TeKnowledge

Req ID: 16946

About the Job

• We're seeking an experienced Manager: Data Engineer to lead the design, development, and maintenance of scalable and reliable data pipelines that power our enterprise data platforms.
• In this role, you will manage a team of data engineers, ensure data quality and governance are embedded in every solution, and collaborate with architecture, governance, and analytics teams to deliver high-quality, trusted data products.
• You will play a key role in optimizing data ingestion, transformation, and storage while staying ahead of evolving technologies and best practices.
• At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity.
• We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
• You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Responsibilities

• Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.
• Lead a team of data engineers to build and support enterprise-grade data platforms.
• Ensure data quality, lineage, and governance are embedded in engineering solutions.
• Optimize data ingestion, transformation, and storage in cloud and hybrid environments.
• Collaborate with architecture, governance, and analytics teams to ensure alignment with business needs and platform strategy.
• Stay current with evolving data engineering best practices and emerging technologies.

Qualifications
Education:

• Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or related field.
• Master’s degree in Data Engineering or Big Data (preferred but not required).

Experience:

• 6–10 years of experience in data engineering, ETL development, or data warehousing.
• Minimum of 2 years in a team lead or managerial capacity.
• Hands-on experience building and maintaining data pipelines, preferably in Fintech, Banking, or high-volume transactional environments.
• Deep knowledge of data lakehouse architecture, real-time streaming, and batch processing systems.
• Proven ability to collaborate with data scientists, analysts, and product teams to deliver trusted, high-quality data products.

Preferred Certifications:

• Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate.
• Apache Spark or Kafka certifications.

Why You’ll Enjoy It Here

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.