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Technical Solution Leader

Location

Worldwide

Posted

95 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Technical Solution Leader

Exavalu Solutions India Pvt Ltd

Role Description This is a remote position. - Design and implement end-to-end data architectures using Azure-native services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Azure SQL. - Develop scalable data pipelines and ingestion frameworks leveraging medallion architecture principles. - Perform data discovery, profiling, and mapping across multiple source systems. - Collaborate with stakeholders to gather, analyze, and refine data requirements from diverse applications. - Translate business requirements into data definitions, source-to-target mappings, and transformation logic. - Conduct gap analysis between current and target data models and architectures. - Define and implement data quality rules, validation frameworks, and governance standards. - Design and build insurance-specific data models (policy, claims, premiums, exposure, financials). - Identify appropriate source systems for data ingestion in collaboration with business stakeholders. - Develop data integration and ingestion patterns aligned with enterprise architecture. - Design and implement data reconciliation and validation procedures. - Support and execute data migration activities. - Analyze and optimize existing data pipelines and Azure SQL databases for performance and scalability. - Contribute to operating model design, governance forums, and cross-functional alignment. - Deliver key artifacts such as data dictionaries, validation catalogs, and onboarding documentation. Qualifications - 8–10+ years of experience in data analysis within data-centric or transformation programs. - Strong expertise in data profiling, data mapping, and source-to-target transformations. - Extensive experience working with high-volume insurance datasets (policy, premium, claims, exposure, financials). - Proven experience in designing and implementing insurance-specific data models. - Hands-on experience with Azure data services (ADLS, ADF, Azure SQL, Synapse). - Solid understanding of distributed data processing concepts. - Experience in defining and implementing data quality frameworks and governance standards. - Strong expertise in data ingestion, transformation, and orchestration frameworks. - Proven ability to design scalable, high-performance, and cost-efficient data pipelines. - Experience establishing data governance and architectural best practices. - Strong stakeholder management and communication skills. - Ability to collaborate effectively with business and engineering teams to deliver scalable data solutions. Requirements - Experience with enterprise data models and data standardization initiatives. - Prior experience working on Insurance P&C cloud-based data and analytics projects. - Hands-on experience with PySpark for large-scale data processing. - Experience working with Azure Databricks and Spark-based pipelines. - Expertise in defining and enforcing best practices for Databricks workloads. - Strong analytical and problem-solving skills with a focus on scalable architecture design. - Excellent communication and cross-functional collaboration skills. Benefits - Exavalu promotes flexibility, adapting to the needs of employees, customers, and the business. - Options for part-time work, working outside normal 9-5 business hours, or working remotely. - Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. - Commitment to building a diverse and inclusive workforce. - Welcoming applications from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity, or any other status protected by applicable law. - Nurturing a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

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