Job Description:

We are seeking a highly experienced
Data Engineer Team Lead
to spearhead a long-term client engagement. The ideal candidate will bring deep technical knowledge in distributed data processing tools, with specific expertise in
Kafka
,
Spark
, and
Hadoop
. Experience with
BigQuery
is highly desirable. This role demands proven leadership capabilities, including the ability to mentor engineers, drive project success, and communicate technical solutions effectively to stakeholders.

As a key leader in the engineering function, you will take ownership of architectural decisions, data pipeline optimizations, and guide cross-functional collaboration across teams in a dynamic, fully remote environment.

Responsibilities:

• 
  Lead a team of data engineers and contribute hands-on to the design and development of scalable data pipelines.
• 
  Architect, implement, and optimize large-scale streaming and batch data solutions using Kafka, Spark, and Hadoop.
• 
  Oversee the deployment and monitoring of data infrastructure for performance and reliability.
• 
  Collaborate with product, analytics, and engineering teams to define data needs and drive data strategy.
• 
  Coach and mentor junior engineers and contribute to team culture, process, and quality standards.
• 
  Ensure best practices for data governance, security, and compliance.
• 
  Advocate for and implement improvements in data engineering standards and tooling.

• 
  6+ years of experience in data engineering, including recent leadership or team lead roles.
• 
  Expertise in
  Apache Kafka
  ,
  Apache Spark
  , and
  Hadoop
  ecosystems.
• 
  Hands-on experience with
  cloud data platforms
  ;
  BigQuery
  experience preferred.
• 
  Demonstrated success in leading technical teams and delivering complex data solutions at scale.
• 
  Strong problem-solving, debugging, and performance tuning skills.
• 
  Excellent communication and leadership skills, with experience managing team workflows and stakeholder expectations.
• 
  Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.