Senior Data Architect

About Client :-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services. TLM Application Developer

Job Details:-

location : Pune

Mode Of Work : Hybrid

Notice Period : Immediate Joiners

Experience : 14-18 yrs

Type Of Hire : Contract to Hire

Primary Skills :-

The Data Architect will be responsible for designing, building, and managing data architecture solutions. Candidates should have experience in insurance, particularly Lloyds of London preferable, as well as skills in data management, modelling, and integration, with an emphasis on scalable, secure, and efficient data systems.

Key Responsibilities:

Lead the design and implementation of scalable data architecture supporting analytics and digitalization agenda for MR Syndicate (MRSL) in a cross-functional team of architects from business and technology

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.

Define architecture standards, guidelines, and procedures.

Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information management

Support the design of Munich Res pillars for Data Governance, Metadata

Manage the Information Management framework, architecture, processes, and solutions

Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains

Review third parties high-level designs and implementations to ensure quality, coherence and consistency with MR Specialty and Enterprise Data architecture

Deliver standards and patterns, controls on how Munich RE would like to deploy services in a standard and repeatable way

Optimize systems for performance cost and scalability.

Collaborate with IT teams and management to devise data-related strategies and ensure alignment with company goals.

Collaborate with business and technical stakeholders to translate requirements into scalable, secure, and compliant cloud solutions

Lead the data architecture and design efforts, ensuring comprehensive documentation and adherence to best practices.

Ensure data integrity, quality, and security in alignment with compliance requirements.

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

Strong leadership and team management skills.

Nice to Have Skills:

Azure or Databricks certification. CDMP, TOGAF

Experience in Agile/Scrum environments.

Understanding of regulatory frameworks like GDPR, HIPAA.

Detail-oriented and highly organized.

Ability to work independently and as part of a team

Excellent communication and stakeholder management skills