Cloud Data Architect

3 weeks ago

Gurugram Haryana, India USEReady Full time

**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.

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