Cloud Native Data Platform Architect

16 hours ago


noida, India beBeeDataEngineer Full time

Lead Data Engineer - Cloud-Native PlatformsWe are seeking an experienced Lead Data Engineer to design, build, and optimize cloud-native data platforms. As a key member of our team, you will lead a group of Data Engineers in delivering high-quality outcomes.About the RoleThis is a hands-on role with strong ownership across architecture, development, optimization, and team leadership. You will be responsible for:Leading and mentoring a team of Data Engineers to deliver high-quality outcomes.Owning project planning, task delegation, sprint delivery, and quality assurance.Collaborating with cross-functional teams including data scientists, analysts, architects, and product teams.Data Engineering & ArchitectureYou will be responsible for architecting, designing, and implementing scalable data pipelines using AWS, PySpark, and Airflow. Additionally, you will:Built and maintain ETL/ELT processes for ingestion, transformation, and publishing of structured/unstructured data.Developed scalable data models and cloud-native architectures aligned with BFSI requirements.Optimized data processing (Spark), data storage (S3, Iceberg/Hudi/Delta), and query performance.Required Skills & ExperienceTo be successful in this role, you will need:6+ years of hands-on experience in data engineering.Strong expertise in PySpark for distributed data processing.Experience building and orchestrating pipelines using Airflow (DAGs, scheduling, monitoring).Strong AWS experience with focus on data services.Advanced SQL skills and experience in OLTP, OLAP, Data Lakes, and Data Warehouses.Experience with Hudi / Iceberg / Delta Lake.Proficiency in Python for ETL, utilities, and API integrations.Understanding of big data technologies (Spark, Hadoop ecosystem).Preferred SkillsWhile not required, experience in the following areas would be beneficial:BFSI (Banking, Insurance, NBFCs, AMCs) data ecosystems.Docker, Kubernetes, and containerized data applications.API development experience (preferably Python/FastAPI/Flask).Experience working with data scientists and BI teams.Behavioral & Leadership SkillsWe are looking for individuals with strong ownership mindset and accountability. You should have:Excellent problem-solving and debugging skills.Ability to mentor junior team members and lead by example.Strong communication and stakeholder management.Ability to work in a fast-paced, entrepreneurial environment.EducationA Bachelor's or Master's degree in Computer Science, Engineering, or related field is required.



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