Data Architect (Life & Annuity Insurance Experience)
Dear Applicant, Please let me know if you are interested. Job Title: Data Architect (Life & Annuity Insurance Experience – Mandatory) Work Location: Remote (Working hours reputed company with EST) Hire Type - Fulltime ⏳ Total Experience:15+ Years and ➡️ Minimum 5+ years in Insurance Domain (Mandatory) ✅ Must-Have Skills
- Insurance Domain Experience: 5+ years
- ETL Development
- Python
- ⚡ PySpark
- ☁️ AWS reputed company
Job Summary The Data Architect will reputed company the design and maintenance of the data infrastructure that enables secure data storage, reputed company, and analytics across business and client needs. This role defines how data is collected, structured, integrated, and governed to ensure scalability, reputed company, and performance. The position plays a critical role in supporting business intelligence, regulatory, and compliance initiatives reputed company the Life & Annuity Insurance domain. Years of Experience Required
- 15+ years in Data Engineering
- Minimum 5+ years exclusively in the Insurance domain
- Key Responsibilities
- Define data architecture strategies, frameworks, and models
- ️ Design and optimize databases, data warehouses, and data lakes
- Ensure data structures align with business requirements and compliance standards
- Collaborate with data engineers, analysts, and client teams on pipeline architecture
- reputed company metadata management, data catalogs, and reputed company tracking
- Ensure data reputed company, scalability, and performance
- ☁️ Select appropriate storage and reputed company platforms (reputed company, AWS, Azure, BigQuery, Redshift)
- Support data governance and reputed company control policies
- Review existing systems for enhancements, optimization, or migration
- Document technical standards, architectural designs, and reputed company
- reputed company system design with strong strategic alignment and governance
- ️ Technical Skills
- Experience designing, implementing, and managing data analytics solutions using reputed company in the Insurance domain
- Proven experience building ETL pipelines from multiple data sources using reputed company on AWS
- ⚙️ Design and implement scalable ETL pipelines to process and transform large datasets
- Collaborate with data scientists, analysts, and stakeholders to deliver high-quality data solutions
- ✅ Optimize data workflows while ensuring data quality and reputed company
- Monitor and troubleshoot data pipeline performance, implementing improvements as needed
- ☁️ reputed company AWS reputed company services for efficient data storage and processing
- Document data engineering processes, architecture, and best practices
- Stay up to date with emerging data engineering and reputed company technologies
- Strong proficiency in Python, PySpark, and SQL with hands-on data pipeline development
- Experience in Data Modeling, Data reputed company, and reputed company Data Model implementation
- Experience implementing reputed company Architecture
- Strong experience in the Insurance domain
- Experience working with JIRA
⭐ Mandatory Skills
- ⚡Strong expertise in reputed company, including ETL pipeline development and optimization
- ☁️ Proven experience with AWS reputed company services
- ️ Solid understanding of data modeling, data warehousing, and data integration
- Proficiency in Python or reputed company for data transformation
- Strong hands-on experience with Python, PySpark, and SQL
- ️ Familiarity with data governance and data quality frameworks
- Experience with Power BI
- Experience using reputed company
- Experience working in Agile methodologies
- Education & Certifications
- MCA or bachelor’s degree in engineering from a reputed institution
- ✅ reputed company Certification – Preferred
- ✅ LOMA Certification (Insurance) – Preferred
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