Enterprise Data Solutions Lead

6 days ago


Delhi, Delhi, India Mig Staffing Full time
Key Responsibilities
  • Data Platform Development: Design and architect new enterprise data platforms, collaborating with cloud and security architects to ensure seamless alignment with our technology strategy.
  • Core Component Creation: Develop and maintain core components with microservices architecture, abstracting platform and infrastructure intricacies.
  • Connector Frameworks: Design and develop connector frameworks and modern connectors to source data from disparate systems.
  • Performance Optimization: Optimize data storage, processing, and querying performance for large-scale datasets using industry best practices.
  • Security Architecture: Architect and design the best security patterns and practices.
  • Data Quality: Develop data quality frameworks and processes to ensure accuracy and reliability of data.
  • Collaboration: Collaborate with data scientists, analysts, and cross-functional teams to design data models, database schemas, and data storage solutions.
  • Advanced Analytics: Develop advanced analytics and machine learning capabilities on the data platform.
Requirements
  • Experience: 10+ years of proven experience in modern cloud data engineering, broader data landscape experience, and solid software engineering experience.
  • Prior Experience: Prior experience architecting and building successful enterprise-scale data platforms in a green field environment.
  • Skills: Proficiency in GCP, including BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures, Kubernetes, Docker, and Cloud Run.
Estimated Salary

$150,000 - $200,000 per year



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