Data Architect

Key Responsibilities:

· Lead the design and implementation of scalable data architecture supporting analytics and digitalization agenda

· Develop and maintain data models (Logical and Physical) to support business needs ensuring data integrity and efficiency.

· Proven experience as a Data Architect with hands-on expertise in designing and deploying end-to-end enterprise-grade data solutions including pipelines, storage, compute, and integration components

· Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solution.

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Mandatory Skills:

· Strong knowledge of Data Architectures e.g., Data Lake, Medallion Architecture, Data Products, Data Mesh, Data Fabric, Data Warehouse

· Experience with cloud-based data solutions using Azure Data Factory, Synapse, Databricks, Blob storage, ADLS Gen2, Azure SQL, Azure Functions, Power BI, Fabric, Logic Apps, Event Hubs, Python,

· Proficient in data modelling, database design

· Drive DevOps and CI/CD adoption for data pipeline automation and deployment

· Strong knowledge of star schema, snowflake schema, relational and non-relational data structures, facts & dimensions, Logical Physical and Semantic modelling techniques

· Strong knowledge of common data stores e.g., ODS, Data Warehouse, Data Lake, Data Mart, etc.

· Metadata management, Data Masking, lineage, views, strong SQL querying skills, SCRUM Agile

· Strong knowledge of SQL and NoSQL databases.

· Experience with data integration, ETL processes, and data migration using Realtime, batch and micro-batch

· Excellent problem-solving and analytical skills.

· Effective communication and collaboration abilities.

· Familiarity with data governance and data security practices and compliance in cloud environments

· Provide technical leadership and mentorship to a team of Azure Data Engineers, ensuring delivery quality and adherence to best practices

· 10+ years of experience in hands-on design, engineering, administration, and implementation of comprehensive systems and architectures in an insurance enterprise are preferred

· Understanding of insurance domain concepts with hands-on experience in data modelling is required

· Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred

· Industry certifications in Azure, Databricks or data architecture is advantageous

· Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)

· Ability to estimate the financial impact of technology alternatives in terms of benefit and cost

· Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models

· Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships

· Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas

Nice to Have Skills:

· Azure or Databricks certification. CDMP, TOGAF

· Knowledge of machine learning and AI

· Experience in Agile/Scrum environments.

· Understanding of regulatory frameworks like GDPR, HIPAA.

· Detail-oriented and highly organized. Strong leadership and project management skills.

· Ability to work independently and as part of a team

· Excellent communication and stakeholder management skills

Job Types: Full-time, Permanent

Pay: ₹3,500,000.00 - ₹4,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund
• Work from home

Work Location: In person