Data Architect

4 weeks ago

Bangalore, Karnataka, India Arting Digital Full time

Job Title : Data Architect

Experience : 8 year

Location : Pune

Work mode : Hybrid

Education : Any graduation

Primary sikks : (Technical Must Haves)

- Very good experience in designing data and AI products

- Have strong experience in designing and implementing medallion Datalake architecture

- Strong experience in handling PII data and legal regulations

- Having experience in Data governance and Data Modelling

- Very strong optimization experience with Py-spark/data-bricks and SQL

- Hands on exp in data security and compliance

- Good experience in any cloud architecture

Secondary Skills :

- Knowledge if machine learning algorithms

Soft Skills :

- Very good communication and interpersonal skill.

Roles & Resonsibilities :

Data Modeling :


- Developing conceptual, logical, and physical data models that align with business requirements and ensure data integrity, consistency, and efficiency.

Database Design :


- Designing and implementing database solutions that meet the organization's needs, considering factors such as scalability, performance, security, and compliance.

Data Integration :


- Developing strategies and solutions for integrating data from various sources, including databases, applications, APIs, and third-party systems, to ensure data consistency and accuracy across the organization.

Data Governance :


- Establishing and enforcing data governance policies, standards, and procedures to ensure data quality, security, privacy, and compliance with regulatory requirements.

Data Security :


- Implementing security measures to protect sensitive data from unauthorized access, breaches, and cyber threats, including encryption, access controls, and data masking techniques.

Data Architecture Design :


- Defining the overall data architecture strategy and roadmap, including the selection of appropriate technologies, platforms, and tools to support current and future business needs.

Data Warehousing :


- Designing and building data warehouse solutions to support business intelligence, analytics, and reporting requirements, including data modeling, ETL (Extract, Transform, Load) processes, and data storage optimization.

Data Migration :


- Planning and executing data migration projects to transfer data between systems, platforms, or cloud environments while minimizing downtime, data loss, and disruption to business operations.

Performance Optimization :


- Identifying and resolving performance issues related to data storage, retrieval, processing, and analysis through database tuning, indexing, partitioning, and other optimization techniques.

Collaboration :


- Collaborating with stakeholders, including business users, analysts, developers, and IT teams, to understand requirements, gather feedback, and ensure alignment between data architecture solutions and business objectives.

Documentation :


- Creating and maintaining documentation, such as data dictionaries, data lineage diagrams, and technical specifications, to facilitate knowledge sharing and ensure the integrity of the data architecture.

Continuous Improvement :


- Staying informed about emerging technologies, industry trends, and best practices in data management and architecture, and recommending improvements or enhancements to existing systems and processes.

(ref:hirist.tech)

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