IFC – Data Designer

慨正橡扯; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

慨正橡扯 is looking for a Data Designer based out of Pune, India, to spearhead the evolution of our infrastructure and deployment pipelines. You will ensure that data is accurate, secure, and accessible to meet stakeholder needs while collaborating with various teams to align data models and promote best practices.

The ideal candidate should have substantial experience in designing data models and data architecture, with a strong SQL background. Success in this role involves not only technical expertise but also strategic thinking and the ability to navigate complex requirements.

Qualifications

• Experience designing data models across various platforms.
• Strong SQL skills and data analysis capabilities.
• Knowledge of data governance and data quality principles.

Responsibilities

• Define and govern the bank’s data architecture.
• Translate bank-wide goals into target data architecture.
• Maintain data architecture governance and standards.

Skills

Data modeling for Data Warehouses

SQL skills

Data Architecture understanding

Industry-standard modelling techniques

Collaboration skills

Translating business requirements

Job description

Join us as a Data Designer, at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting‑edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

To be successful as a Data Designer you should have experience with:

• Experience designing data models for Data Warehouses, Data Products, Data Lakes, or Enterprise Data Platforms (EDP).
• Strong SQL skills with Data Analytical Skills. Experience validating data model implementations with development teams.
• Strong understanding of Data Architecture, data governance, data lineage, metadata management, reference data, and data quality principles.
• Knowledge of industry‑standard modelling techniques such as 3NF, Dimensional Modelling, Data Vault, Canonical Models, and Domain‑Driven Design.
• Ability to collaborate with architects, analysts, technology teams, and business stakeholders to align data models with enterprise standards.
• Proven ability to translate complex business requirements into scalable data structures, data entities, relationships, and business data definitions.

Some other highly valued skills may include:

• Experience working within the Banking, Financial Services, Financial Crime, Risk, Regulatory, or Compliance domains, with a strong understanding of financial data concepts.
• Experience in designing and maintaining Conceptual, Logical, and Physical Data Models for enterprise applications and data platforms.
• Exposure to Data Control Frameworks, and Regulatory Data Management.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job‑specific technical skills.

The role is based out of Pune.

Purpose of the role

To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

Accountabilities

• Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
• Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value‑driven data usage.
• Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
• Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
• Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
• Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio.
• Identification and selection of best‑in‑class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards.