Establish and lead enterprise data management capabilities, define data architecture strategy, and perform complex data analysis. Strong experience in data architecture, data management, and AWS tools required. Excellent communication and stakeholder management skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We have a job opportunity with our direct Client for Lead AWS Data engineer experience; It’s a long-term contract role.
Title : Lead AWS Data engineer
Work Schedule: Fully Remote role
Required Skills : - Lead AWS Data engineer / architect- sql, Athena, redshift, DBT, Trinio/presto, medallion Architecture & python
It’s a contract
Position Summary
We are seeking a highly experienced Lead Data Engineer to establish and lead our enterprise data management capabilities while providing hands-on leadership for critical business transformation initiatives. This role will initially focus on supporting a strategic Annuity Platform Implementation, performing detailed data analysis and defining the target-state data integration architecture. Over time, the role will evolve into a broader leadership position responsible for building and eventually maturing the organization's Data Governance program, data architecture standards, and data management team.
This is a unique opportunity for a hands-on leader who can balance strategic vision with execution, helping a growing organization establish a strong data foundation that supports business growth, operational efficiency, regulatory compliance, and data-driven decision-making.
Data Architecture Leadership
- Define and maintain enterprise data architecture strategy, principles, standards, and best practices.
- Develop current-state and target-state data architecture roadmaps.
- Design scalable and sustainable data models, integration patterns, and data management frameworks.
- Establish architecture governance processes and review boards.
- Collaborate with business and technology leaders to align data architecture with organizational objectives.
Annuity Platform Implementation experience is a plus
- Lead data architecture activities for the annuity platform implementation program.
- Analyze source and target system data models, interfaces, and business processes.
- Define end-to-end data integration architecture across annuity platforms and enterprise applications.
- Develop data mapping, transformation, migration, and reconciliation strategies.
- Identify data quality issues, integration risks, and remediation plans.
- Support implementation teams throughout design, development, testing, and deployment.
- Ensure data architecture decisions support long-term enterprise data objectives.
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Data Governance Program Leadership (Optional / Nice to Have)
- Establish and lead the organization's Data Governance program.
- Define data governance policies, standards, roles, and operating models.
- Implement data ownership, stewardship, and accountability frameworks.
- Develop data quality, metadata management, lineage, and master data management practices.
- Create governance processes for critical business data domains.
- Partner with business stakeholders to improve data quality and consistency.
- Develop metrics and reporting to measure governance effectiveness.
Data Analysis & Data Management
- Perform complex data analysis to support business and technology initiatives.
- Lead data profiling, data discovery, and impact analysis efforts.
- Define data quality rules, controls, and monitoring processes.
- Identify opportunities to improve data usability, accessibility, and reliability.
- Support enterprise reporting, analytics, and regulatory data requirements.
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Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
- 15+ years of experience in data architecture, data management, or enterprise information management.
- Proven experience designing enterprise-scale data integration architectures.
- Demonstrated success establishing or leading Data Governance programs.
- Strong experience in data modeling, data analysis, and data architecture frameworks.
- Experience leading complex data migration and system implementation initiatives.
- Strong understanding of data quality, metadata management, master data management, and data lineage.
- Experience with relational databases, cloud platforms, data warehouses, and integration technologies.
- Strong hands-on experience with AWS tools and technologies: S3, Redshift, Athena, Glue
- Strong hands-on experience with dbt, Trino
- Excellent communication and stakeholder management skills, across Business and Technology.
- Experience leading cross-functional teams and influencing executive stakeholders (business & technology)
- Experience in Insurance, Annuities, Wealth Management, or Financial Services industries.
- Experience supporting policy administration or annuity platform implementations.
Thanks and Regards,
Ankit Grover
Sr. Executive - TA
Iris Software
200 Metroplex Drive, Suite #300, Edison, NJ 08817
Email : ankit.grover01@irissoftware.com
www.irissoftware.com
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