The team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
This role is a data architecture + execution role, responsible for:
- Designing scalable data solutions and architectures, data exchanges and platforms
- Supporting implementation teams in delivering data platform capabilities
- Defining data models, integration patterns, and governance standards
- Collaborating with business, technology, and vendor teams to ensure successful execution
You will act as a key contributor to data strategy, architecture, and implementation, ensuring that data solutions align with business goals, enterprise standards, and future scalability requirements.
What You Will Do
1. Design Data Architecture & Solution Frameworks
- Collaborate with business and technology stakeholders to translate requirements into scalable data solutions
- Design and document of end-to-data architecture for analytics, reporting, and operational use cases
- Define data flows, integration patterns, and information architecture standards across enterprise.
- Develop conceptual, logical, and physical data models
- Ensure alignment with enterprise architecture, security, and governance standards
2. Drive Data Modelling & Integration Design
- Design and maintain enterprise data models and subject area models
- Define data integration approaches across internal and external systems
- Support ingestion frameworks for batch and near real-time data processing
- Establish standards and contribute for:
- Data modelling
- Data transformations
- Metadata management
- Data quality controls
- Work closely with engineering teams to ensure accurate implementation of architecture designs
3. Support Data Platform Delivery
- Collaborate with data engineering teams and vendors during implementation
- Prepare technical designs, architecture documents, and data pipeline specifications
- Provide architectural guidance during development and testing phases
- Assist in resolving solution design challenges and integration issues
- Validate deliverables against architecture standards and business requirements
4. Support Analytics & Business Intelligence Initiatives
- Collaborate with analytics teams to design analytics-ready data structures
- Define data marts and curated datasets for reporting and self-service analytics
- Optimize data structures for performance, usability, and scalability
- Support reporting, dashboarding, and advanced analytics requirements
5. Collaborate with Cross-Functional Stakeholders
- Work with business teams to understand data requirements and business processes
- Coordinate with application teams, infrastructure teams, and external vendors
- Facilitate architecture discussions, solution reviews, and design workshops
- Communicate architectural decisions and recommendations to stakeholders
6. Contribute to Architecture Best Practices
- Support development of enterprise data architecture standards and frameworks
- Evaluate emerging technologies, tools, and data platform capabilities
- Contribute to architecture governance processes and design reviews
- Drive continuous improvement in architecture methodologies and delivery practices
Key skills required
Core Technical Expertise
- Strong experience in data architecture, data modelling, and data integration
- Hands-on:
- Architecting, and implementing Data Exchange platforms
- Strong Experience across the data lifecycle including data governance, data quality, Metadata Management, Master Data Management, schema management/ versioning etc.
- Strong Data Modelling including Dimensional Data Modelling etc.
- Data warehousing concepts
- Strong Experience in streaming and Realtime data platforms
- ETL/ELT frameworks
- SQL and relational databases
- Cloud or on-premises data platforms
- Experience with modern data technologies such as:
- Realtime streaming platforms like kafka, Spark and distributed data processing frameworks
- Data lake and warehouse architectures, Realtime data exchange platforms
- Understanding of:
- Data governance
- Data quality management
- Metadata and lineage concepts
- API-based integrations
Architecture & Delivery Skills
- Ability to convert business requirements into scalable data architecture solutions
- Experience in creating data models, architecture diagrams, and solution documentation
- Familiarity with architecture review and governance processes
- Strong analytical and problem-solving skills
- Ability to work closely with engineering teams and implementation partners
- Strong Documentation skills including diagramming, presentation, preparation of concept notes, project documentation etc.
Qualifications
- Bachelor’s/master’s degree in computer science or related field
- 6 to 8 years of experience in data engineering, data architecture, analytics engineering, or related roles
- Experience working in enterprise-scale data and analytics programs
- Exposure to cross-functional and multi-stakeholder environments
- Consulting or client-facing experience preferred
Location and Way of Working
- Base location: Hyderabad