Data Architect

7 days ago

Kandivali Mumbai Maharashtra, India Mahindra & Mahindra Ltd Full time

**Responsibilities & Key Deliverables**
- Objective: GCP Data Architect role is to design and implement scalable data solutions on Google Cloud Platform, integrating SAP systems and leveraging QlikSense for data visualization and analytics.

**Data Architecture and Design**:

- Design and implement scalable, secure, and efficient data architectures on GCP.
- Develop data models and pipelines to support business intelligence and analytics initiatives.
- Integrate SAP systems with GCP to ensure seamless data flow and processing.

**SAP Integration**:

- Lead the integration of SAP systems with GCP, ensuring data consistency and reliability.
- Collaborate with SAP functional and technical teams to understand data requirements and design appropriate solutions.
- Develop and maintain ETL processes to extract, transform, and load data from SAP to GCP.

**QlikSense Implementation**:

- Create dashboards and reports that provide actionable insights to stakeholders.
- Collaborate with business users to understand their reporting needs and deliver solutions that meet their requirements.

**Data Governance and Security**:

- Implement data governance policies and procedures to ensure data quality, security, and compliance.
- Monitor and optimize data pipelines to ensure performance and scalability.
- Stay updated with the latest GCP, SAP, and QlikSense technologies and best practices.

**Experience**
- Minimum of 15+ years of experience in a Data Architect role, supporting warehouse and big data platforms/cloud environments.

**Industry Preferred**
- Manufacturing - Preferably Auto & Ancillary Business

**Qualifications**
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

**General Requirements**

**Primary Skills (Technical Skills)**:

- Proficient in GCP services such as BigQuery, Dataflow, Cloud Storage, Cloud Composer, Data Fusion and Cloud Functions.
- Experience with SAP data extraction tools and APIs.
- Strong knowledge of SQL and NoSQL databases.
- Familiarity with ETL tools and data integration platforms.
- Experience with data modelling and schema design

**Secondary Skills (Functional)**:

- Understanding best practices and benchmarking processes in related industry

**Behavioural Competencies/ Skills**:

- Anticipating and leveraging business opportunities
- Fruitful utilisation of Resources,
- Giving Customer Delight,
- Excellent communication and collaboration skills.
- Strong problem-solving and analytical abilities.
- Ability to work independently and as part of a team.

**Job Segment**:Warehouse, Architecture, Manufacturing, Engineering

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