Job Description

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.

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