
Engineering Manager – Big Data
8 hours ago
Job Title: Engineering Manager – Big Data, Azure & Databricks
Location: Remote
Employment Type: Full-time
Department: Data Engineering / Technology
Experience: 8+ years (3+ years in a managerial role)
Salary - 30 LPA
About the Role:
We are seeking a highly experienced and strategic Engineering Manager with deep expertise in Big Data platforms, Microsoft Azure, and Databricks. The ideal candidate will lead a team of talented data engineers to design and deliver scalable data pipelines and analytics platforms, ensuring high performance, reliability, and security in a cloud-native environment.
Key Responsibilities:
- Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems.
- Architect and oversee the development of end-to-end data solutions using Azure Data Services and Databricks.
- Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products.
- Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Ensure high data quality, governance, and compliance with internal and external policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
- Stay current with industry trends, emerging technologies, and apply them to improve system architecture and team capabilities.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software/data engineering with at least 3 years in a leadership or managerial role.
- Proven hands-on experience with:
- Big Data ecosystems (Spark, Hive, Hadoop)
- Azure Cloud Services (Data Lake, Data Factory, Synapse Analytics, Blob Storage)
- Databricks (including Delta Lake, MLFlow, Unity Catalog)
- Strong programming experience in Python, Scala, or Java.
- Deep understanding of data modeling, ETL/ELT processes, and performance tuning.
- Experience managing Agile teams and delivering complex projects on time.
- Excellent problem-solving, leadership, and communication skills.
Preferred Qualifications:
- Certification in Azure Data Engineer or Azure Solutions Architect.
- Experience with data governance, security, and compliance (e.g., GDPR, HIPAA).
- Familiarity with ML/AI workflows and collaboration with data science teams.
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