Back
Tier-1 brand, metro location, and broad GCP/Big Data requirements create moderate candidate competition.
Requires automotive domain experience plus specific Big Data and GCP expertise, making background transferability limited.
Multiple explicit mandatory filters (8+ years, automotive experience, team leadership, Big Data, GCP) increase shortlisting rigour.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage a team of local and remote Portfolio Data Engineers responsible for designing, developing, and maintaining data pipelines and foundational data assets for the PLMA Analytics domain.
Own technical decisions including incident resolution, architectural fixes, and delivery of scalable, high-quality data solutions aligned with business needs and enterprise Data Hub strategy.
Champion data engineering standards, governance, security, and cost optimization while collaborating with stakeholders on data platform strategy and innovation.
Bachelor’s degree in Computer Science, IT, Information Systems, Data Analytics, or related field.
8+ years of experience in complex data environments with progressively increasing responsibility.
5+ years of experience leading software or data engineering teams and 5+ years in Big Data environments or with Big Data tools.
5+ years of automotive industry or related product development experience; expertise in Google Cloud Platform services and strong programming skills in Python or Scala with strong SQL.
Experienced data engineering manager with a strong track record of delivering scalable data pipeline solutions in complex, enterprise environments, preferably automotive or similar product lifecycle contexts.
Technical leader proficient in full stack cloud data engineering, CI/CD, containerization, and hyperscaler cost/compute optimization with practical exposure to Generative AI and LLMs for workflow optimization.
Strategic operator who prioritizes engineering excellence, governance, and cross-team collaboration, capable of resolving critical incidents and influencing enterprise data platform direction.