Data Architect

2 days ago

Remote, India Luxoft Full time

**Project** Description**:
The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).

**Responsibilities**:
The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).

1. Excellent communication and interpersonal skills.
2. Excellent understanding of data management through previous hands-on design, development and implementation of IT systems.
3. Understands the data life cycle. Can translate business requirements into data requirements.
4. Proficient in data capture, data processing, data modelling and data quality.
5. Proficient in master data management, data governance concepts.
6. Proficient in data management tools & technologies.
7. Proactive, determined, and resilient, with a positive attitude.
8. Extensive and demonstrable problem-solving and decision-making capabilities.

**Skills**:
Must have

1. Excellent communication and interpersonal skills.
2. Excellent understanding of data management through previous hands-on design, development and implementation of IT systems.
3. Understands the data life cycle. Can translate business requirements into data requirements.
4. Proficient in data capture, data processing, data modelling and data quality.
5. Proficient in master data management, data governance concepts.
6. Proficient in data management tools & technologies.
7. Proactive, determined, and resilient, with a positive attitude.
8. Extensive and demonstrable problem-solving and decision-making capabilities.

Nice to have

Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.

**Languages**:
English: C1 Advanced

**Seniority**:
Lead

**Relocation package**:
If needed, we can help you with relocation process.

Vacancy Specialization

Data Architecture

Ref Number

VR-97672

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