What are the responsibilities and job description for the Lead Data Architect position at ValueMomentum?
Role Overview
We are seeking a highly experienced AWS Data Solution Architect to lead the design, modernization, and implementation of scalable, cloud-native data platforms. The ideal candidate brings strong architectural leadership, hands-on delivery experience, and a future-focused mindset to drive enterprise data transformation initiatives.
This role requires close collaboration with business stakeholders, data engineering teams, and leadership to define data strategies, modern architectures, and execution roadmaps.
Key Responsibilities
- Lead the end-to-end architecture and design of enterprise data platforms on AWS.
- Define and drive data modernization strategies, including migration from legacy platforms to cloud-native architectures.
- Provide hands-on architectural guidance and contribute to solution delivery alongside data engineering teams.
- Establish data architecture standards, patterns, and best practices across the organization.
- Design scalable Data Lake, Data Warehouse, and Lakehouse architectures leveraging AWS, Snowflake, and Apache Iceberg.
- Develop technology roadmaps aligned with business and data strategy.
- Act as a trusted advisor to business and technology leadership.
- Collaborate with security, infrastructure, and DevOps teams to ensure compliant and secure data solutions.
AWS & Data Platform Expertise
- Architect solutions using AWS data services, along with Snowflake and Apache Iceberg, including:
- Amazon S3, Redshift, Glue, Athena, EMR
- AWS Lambda, Step Functions
- Amazon RDS, DynamoDB
- Design and optimize batch and real-time data pipelines.
- Implement data ingestion, transformation, and orchestration frameworks across AWS, Snowflake, and Iceberg-based Lakehouse platforms.
- Ensure high availability, performance optimization, and cost efficiency.
Legacy & Modernization Experience
- Strong understanding of legacy data ecosystems, including:
- DB2, Mainframe, DataStage
- NoSQL platforms
- WebFocus, SAS, Qlik
- Lead migration initiatives from on-prem / legacy systems to AWS cloud-native platforms, including Snowflake and Iceberg-based Lakehouse architectures.
- Modernize reporting, analytics, and data processing workloads.
AI, Automation & Innovation
- Introduce AI-driven initiatives to improve data engineering productivity and operational efficiency.
- Leverage automation for data quality, monitoring, and governance.
- Evaluate emerging technologies and market solutions to continuously evolve the data platform.
Required Qualifications
- 14 years of experience in data architecture and data engineering roles.
- Proven experience as an AWS Data Solution Architect.
- Deep hands-on expertise with AWS data services.
- Strong understanding of data Modeling, ETL/ELT, and analytics platforms.
- Experience modernizing large-scale, complex data environments.
- Excellent communication and stakeholder management skills.
About ValueMomentum
ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.