Cloud and Data Architect

10 hours ago

Hinjawadi Pune Maharashtra, India BirlaSoft Full time

Country/Region: IN
- Requisition ID: 21247
- Work Model:

- Position Type:

- Salary Range:

- Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

**Title**:Cloud and Data Architect**:

- Description:

**Area(s) of responsibility**:
**Senior/Lead Cloud and Data Architect**

**Position Overview**

**Key Responsibilities**

**Leadership and Collaboration**:

- Lead and inspire cross-functional teams, including **data engineers**, **data scientists**, **ML engineers**, and **BI analysts**, fostering a culture of collaboration, innovation, and continuous improvement.

**Enterprise Architecture**:

- Develop and maintain enterprise-level architectural blueprints for cloud and data platforms, ensuring interoperability and scalability.
- Create a cohesive architecture that integrates **data platforms**, **ML systems**, and **business intelligence** tools.

**Cloud and Data Platform Engineering**:

- Design and implement cutting-edge cloud architectures using **AWS**, **Azure**, or **GCP**, focusing on scalability, security, and cost optimization.
- Build and optimize modern data platforms using **Databricks** or **Snowflake** for advanced analytics and real-time data processing.

**Data and ML Integration**:

- Collaborate with ML teams to deploy machine learning pipelines and operationalize AI models within enterprise systems.
- Provide architectural support for ML initiatives, including data preparation, feature engineering, and model lifecycle management.

**Data Warehousing and Modeling**:

- Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads.

**DevOps and DataOps Practices**:

- Establish and enforce **DevOps** and **DataOps** pipelines to automate deployments, enhance agility, and ensure operational excellence.

**Governance, Security, and Compliance**:

- Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA.

**Qualifications**:

- **Education**: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- **Experience**:

- 11+ years in data architecture, cloud platforms, and advanced analytics.
- Hands-on experience with at least two cloud platforms (**AWS**, **Azure**, or **GCP**) is mandatory.
- Expertise in **Databricks** or **Snowflake** is required.
- Comprehensive understanding of **data warehousing**, **data modeling**, and **data integration**.

**Technical Skills**:

- Proficient in programming languages such as **Python**, **SQL**, or **Scala**.
- Familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus.
- Experience with DevOps tools like **Terraform**, **Kubernetes**, or CI/CD platforms.

**Preferred Qualifications**:

- Certifications in AWS, Azure, GCP, Databricks, or Snowflake.

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