Posted 17 days ago
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The Lead Data Architect will shape data strategy and architecture for Asset & Wealth Management (AWM), designing scalable data solutions and ensuring data quality, security, and governance. The role involves developing data models, integration patterns, and performance optimizations while collaborating with cross-functional teams and stakeholders. The position requires hands-on cloud-native experience, strong knowledge of data platforms (warehouses, lakes, mesh/fabric), and proven leadership in data architecture initiatives. The ideal candidate has 5+ years of relevant experience (preferred 8–10) and will mentor junior architects and engineers.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Location: Mumbai, Maharashtra, India
Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don’t miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.
The Lead Data Architect will play a pivotal role in shaping the data strategy and architecture for the whole of AWM. This position requires a deep understanding of data management principles, data modeling, and data integration techniques with the ability to leverage agentic solution to speed delivery. The ideal candidate will have hands on 5+ years of experience in data architecture or relevant equivalent experience, with a proven track record of designing scalable and efficient data solutions.
Job responsibilities
- Design and implement data architecture solutions that align with business objectives and technology strategies.
- Develop and maintain data models, data flow diagrams, and data dictionaries to support business processes.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Ensure data quality, integrity, and security across all data systems and platforms.
- Provide guidance and mentorship to junior data architects and data engineers.
- Stay current with industry trends and emerging technologies to drive innovation in data architecture.
- Develop and enforce data governance policies and best practices.
- Conduct performance tuning and optimization of data systems to ensure high availability and scalability.
- Work closely with stakeholders to identify opportunities for data-driven improvements and efficiencies.
Required qualifications, capabilities, and skills
- Formal training or certification on Data Architecture and software engineering and relevant 5+ years of applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced knowledge of architecture and one or more programming languages
- Proficiency in automation and continuous delivery methods
- Proficiency in all aspects of the Software Development Life Cycle
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Advanced knowledge of one or more software, application, and architecture disciplines
- Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 8 - 10 years of experience in data architecture, data modeling, and data integration or relevant equivalent
- Proficiency in data modeling tools : ERWIN, Lucid etc.
- Strong expertise in database technologies (e.g., SQL, NoSQL, Oracle, MongoDB).
- Proficiency in data warehouse. Data lake, Lake House, Data Mesh, or Data Fabric architectures.
- Understanding and/or experience with streaming and/or batch data movement including ELT/ ETL processes and tooling (Informatica, Pentaho, DBT, Glue)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Proven experience in leading data architecture projects and initiatives.
- Familiarity with data governance frameworks and practices.
