Cloud Data Architect
5 months ago
**Minimum Experience**:
12
**Maximum Experience**:
18
**Skill Set**:
data architecture
**Skill to Evaluate**:
Databricks,Azure,data architecture
**Experience**:
12 to 18 Years
- **Design and implement data architectures**: This involves analyzing business needs, selecting appropriate technologies, and creating blueprints for data ingestion, transformation, storage, and processing using Databricks.
- **Build and optimize data pipelines**: Develop efficient and reliable data flows that move data from various sources to destinations, ensuring data quality, performance, and security.
- **Collaborate with stakeholders**: Work closely with data engineers, analysts, and business users to understand requirements, translate them into technical solutions, and communicate effectively.
- **Monitor and troubleshoot issues**: Proactively identify and resolve performance bottlenecks, data quality problems, and other technical challenges in the data pipelines.
- **Stay up-to-date with the latest technologies**: Continuously learn about new features and capabilities of Databricks and related technologies to adapt and improve solutions.
- **Document and share knowledge**: Create clear and concise documentation of architectures, designs, and processes to ensure knowledge transfer and maintainability.
**Qualifications**:
- **Experience**: 12+ years of experience in data architecture or engineering with Databricks.
- **Technical skills**:
- Proficiency in SQL, Python, and Scala.
- Understanding of big data concepts and frameworks (Spark, Hadoop, etc.).
- Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with data security and governance best practices.
- **Soft skills**:
- Excellent communication and collaboration skills.
- Problem-solving and analytical skills.
- Ability to work independently and as part of a team.
**Job Types**: Full-time, Permanent
**Salary**: ₹2,000,000.00 - ₹3,000,000.00 per year
**Benefits**:
- Flexible schedule
- Food provided
- Health insurance
- Life insurance
- Paid time off
- Provident Fund
Schedule:
- Day shift
- Fixed shift
- Monday to Friday
- Morning shift
Supplemental pay types:
- Performance bonus
- Yearly bonus
Application Question(s):
- Location: Bangalore / Gurugram / Mohali / Delhi
**Education**:
- Bachelor's (required)
**Experience**:
- data architecture or engineering with Databricks: 10 years (required)
- SQL, Python, and Scala: 10 years (required)
- Spark, Hadoop: 5 years (required)
- AWS, Azure, GCP: 7 years (preferred)
Work Location: On the road
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