Data Architect

3 days ago

Kochi, India Prevalent AI Full time

**Company Profile**:
PAI team consists of Cyber Security Domain Specialists, Information Security Analysts, Data Scientists, Data Engineers and Data Analysts focused on developing advanced security analytics solutions (Solution Development) and delivering security insights to our clients.

**Role Purpose & Key Accountabilities:
At Prevalent.AI, we build Data Platforms that support Security Data Science for our clients. This platform is highly complex; it brings together a large volume and variety of data by using modern big data and open-source technologies. Due to the complex nature of the platform, it is important that the structure and meaning applied to the data is done in the right way. To fulfill this challenge, we are looking for an experienced Data Architect who can support us with our journey.

The key accountabilities for this role:

- Analyze and translate business needs into long-term solution data models.
- Work with the development team to create conceptual data models and data flows.
- Develop best practices for data coding to ensure consistency within the system.
- Troubleshoot and optimize data systems
- Drive the design and implementation of data governance practices within the organization
- Drive design of data structures
- Lead management and version control of data models
- Create and optimize data structures for reporting and data integration
- Recommend and implement design and maintenance standards, guidelines, and procedures Ensure appropriate documentation is created, reviewed, published, and maintained.
- Coach and mentor, the team on Data Architecture Best Practices

**Skills & Experience**:

- Hands-on experience with conceptual and logical data modeling.
- Experience in data modeling, data warehousing, data entity analysis, conceptual, logical and physical model development in relational database environments
- Significant experience working on Data Modelling tools like Erwin, Hackolade, etc.
- Experience with data modelling methodologies like Kimball, Inmon and Data Vault
- Experience with graph data modelling
- Experience with data modelling on modern data stack like databricks, snowflake, synapse, neo4j, etc.
- Good understanding of reference data, masterdata, metadata, ontologies and taxonomies
- Ability to communicate with and present to audiences of different participants (e.g., executives, clients, technical peers, non-technical professionals) and size.
- Excellent consultative, facilitative, and consensus-building abilities
- Excellent analytical, data profiling, and problem-solving abilities
- Strong interpersonal skills.
- Excellent communication and presentation skills.

**Knowledge:
- Knowledge of metadata management and related tools.
- Knowledge of mathematical foundations and statistical analysis.
- Solid understanding of transaction and information systems
- Advanced SQL knowledge
- Proficiency in industry-standard data modelling methodologies

**Education:
- Masters / Degree in Engineering preferably Computer Science

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