Data Solution Architect

Purview India Consulting And Services Llp; Kolar; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A consulting firm in Karnataka is seeking a skilled Solution Architect to design and implement scalable data solutions. The ideal candidate should have extensive experience in solution architecture and data modelling, proficient with tools like ER Studio and ERWIN. Excellent communication and analytical skills are essential as the role involves collaboration with various teams to ensure seamless data integration and support for diverse data processes. This position offers an opportunity to work on innovative data solutions in a dynamic environment.

Qualifications

• Demonstrable experience in solution architecture, data modelling and data architecture.
• Proficiency in data modelling tools such as ER Studio, ERWIN, or Visual Paradigm.
• Strong understanding of database systems, including SQL and NoSQL databases.

Responsibilities

• Architect scalable and secure data solutions as required.
• Ensure that data architectures and models support real-time and batch processing.
• Create and maintain comprehensive documentation including data dictionaries.

Skills

Solution architecture

Data modelling

Data architecture

Analytical skills

Communication

Collaboration

Tools

ER Studio

ERWIN

Visual Paradigm

Job description

Overview

In this role, you will:

• Architect scalable and secure data solutions as required.
• Take on general solution architecture tasks and deliverables as part of the wider Solution Architecture team where required.
• Develop logical and physical data models to meet business requirements, contributing to conceptual models where required.
• Collaborate with business analysts and application teams to gather and understand data requirements.
• Create clear and effective data models, solutions and architectures, ensuring alignment with the overall data architecture and project goals.
• Ensure that the data architecture and models support real-time, near-real-time and batch data processing where needed.
• Ensure smooth data integration and flow across various platforms and systems, including integration of data sources into data refineries for analysis and reporting.
• Provide training and support to other teams in understanding, using and implementing data models and architecture.
• Ensure data models maintain high standards of data integrity, accuracy, and consistency.
• Develop and implement best practices for data modelling, including naming conventions, documentation, and version control.
• Create and maintain comprehensive documentation, including Solution Design Documents, entity-relationship diagrams and data dictionaries.
• Ensure that architectures and models are reviewed and approved at the appropriate forums.

Requirements

To be successful in this role, you should meet the following requirements:

• Demonstrable experience in solution architecture, data modelling and data architecture.
• Demonstrable experience preparing and presenting architecture governance artefacts to design boards.
• Experience providing feedback and technical knowledge to facilitate peer review of architectures.
• Using architecture patterns to accelerate decisions and design.
• Proficiency in data modelling tools such as ER Studio, ERWIN or Visual Paradigm.
• Strong understanding of database systems, including relational (SQL) and non-relational (NoSQL) databases.
• Familiarity with ETL processes and data integration tools.
• Experience with cloud-based (GCP, AWS, Azure), on-prem and hybrid data architectures and solutions.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Ability to collaborate with technical and non-technical teams.

In addition to the above, the following background experience would be highly beneficial:

• Consultancy / customer facing experience within a software vendor or enterprise scale services environment.
• Financial Services domain knowledge with practical experience of mobilizing technology to meet the market dynamics effecting the financial services domain (Risk / Cost / Customer).
• A track record of successful refactoring / tech-debt remediation projects.
• Exposure or experience of big data and big data technologies.

High Level & Holistic Capabilities sought:

• Experience in digital and broader architectural transformation, applying solutions from experience, decomposing monolithic solutions and applying methods to manage technical debt.
• Experience working with enterprise architectures, translating those into solution and data architectures.
• Adherence to architecture governance practices and procedures.
• Experience, knowledge and understanding of enterprise level software development.
• Ability to participate in technical design and oversee all technology related issues of cloud native product development, promoting API reuse and managing down technical debt across the enterprise.