Data Architect

TMF GroupHybridFull-timeMid level, 2–5 yearsListed 15 hours ago

Apply now

About this role

We never ask for payment as part of our selection process, and we always contact candidates via our corporate accounts and platforms. If you are approached for payment, this is likely to be fraudulent. Please check to see whether the role you are interested in is posted here, on our website.

TMF Group is a leading global provider of high-value business services to clients operating and investing globally. We focus on providing specialized and business-critical financial and administrative services that enable our clients to operate their corporate structures, finance vehicles and investment funds in different geographical locations.

TMF India is a Great Place to Work, ISO & ISAE certified organization.

Discover the Role

A Data Architect is responsible for defining and governing the organization's data architecture strategy, ensuring that data platforms, models, integrations, and governance frameworks support business transformation goals. In this role, the architect leads the design of scalable, secure, and reusable data solutions using Microsoft Azure and Microsoft Fabric , enabling trusted and integrated enterprise data.

The position acts as a bridge between business stakeholders, solution architects, data engineers, and governance teams to ensure that data assets are aligned with business objectives.

Key Responsibilities

1. Enterprise Data Architecture Design

- Define the end-to-end enterprise data architecture.
- Develop conceptual, logical, and physical data models.
- Establish data standards, principles, and architecture guidelines.
- Ensure alignment between business processes and data structures.

2. Azure & Microsoft Fabric Solution Design

- Design scalable data platforms using: Microsoft Fabric
- Lakehouse Architecture
- Data Engineering Pipelines
- Data Warehousing Solutions
- Data Factory/Data Pipelines
- OneLake

- Recommend optimal cloud data architecture patterns.

3. Data Integration & Data Flow Management

- Define integration patterns across enterprise applications.
- Design ETL/ELT frameworks for data ingestion and transformation.
- Enable seamless movement of data between operational and analytical systems.
- Establish real-time and batch processing strategies.

4. Master Data Management (MDM) & Governance

- Implement enterprise-wide Master Data Management practices.
- Define data ownership, stewardship, and governance processes.
- Establish metadata management and lineage frameworks.
- Utilize governance tools such as Microsoft Purview or similar platforms.

5. Data Transformation & Mapping

- Design source-to-target mappings.
- Define transformation rules and business logic.
- Ensure consistency across reporting, analytics, and operational systems.
- Support data migration and modernization programs.

6. Data Quality & Compliance

- Define data quality standards and validation mechanisms.
- Implement monitoring and auditing processes.
- Ensure compliance with organizational and regulatory requirements.
- Promote data consistency, accuracy, and reliability.

7. Stakeholder Engagement

- Collaborate with business leaders and technology teams.
- Translate business requirements into technical architecture solutions.
- Present architecture designs and recommendations to senior stakeholders.
- Provide technical leadership during project delivery.

Key Requirements

Technical Skills

Azure Data Platform

Strong experience with:

- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS)
- Azure SQL Database
- Azure Databricks
- Azure Event Hub
- Azure Functions

Microsoft Fabric

Hands-on expertise in:

- Fabric Lakehouse
- OneLake
- Data Pipelines
- Data Warehouse
- Real-Time Analytics
- Semantic Models
- Power BI Integration

Data Architecture & Modelling

- Conceptual, Logical, and Physical Data Modeling
- Dimensional Modeling (Star/Snowflake Schemas)
- Data Vault Modeling
- Enterprise Information Models
- Metadata Architecture

Integration & ETL/ELT

- Data integration framework design
- API integrations
- ETL/ELT architecture
- Batch and streaming data pipelines
- Data migration strategies

Governance & MDM

- Microsoft Purview
- Data Lineage
- Data Cataloging
- Data Stewardship
- Master Data Management
- Data Quality Frameworks

What’s in it for you?

Pathways for career development

- Work with colleagues and clients around the world on interesting and challenging work.
- We provide internal career opportunities, so you can take your career further within TMF.
- Continuous development is supported through global learning opportunities from the TMF Business Academy.

Making an impact

- You’ll be helping us to make the world a simpler place to do business for our clients.
- Through our corporate social responsibility program, you’ll also be making a difference in the communities where we work.

A supportive environment

- Strong feedback culture to help build an engaging workplace.
- Regardless of where you are in your career, TMF Group opens a world of opportunity where you will be part of our team and is supported in your global career journey.
- Our inclusive work environment allows you to work from our offices around the world, as well as from home, helping you find the right work-life balance to perform at your best.
- At TMF Group, it’s our people who make us who we are. Our company thrives on entrepreneurial spirit and is full of proactive people who combine enthusiasm with responsibility and accountability.

Other Benefits

- Anniversary & Birthday Leave policy
- Be part of One TMF
- Paternity & Adoption leaves
- Salary advance policy
- Work flexibility – Hybrid work model
- Talk about growth opportunities (we invest in talent)
- Well-being initiatives

We’re looking forward to getting to know you!