Data Engineering Lead

We are looking for a Data Lead to own data architecture and solutioning for AWS-based data platforms. This role is responsible for designing how data flows from ingestion through transformation to consumption, using modern transformation and orchestration tooling (such as dbt, Airflow, or equivalent), and for making the underlying technology choices.

This is equal parts hands-on data architecture and stakeholder-facing solutioning: you'll design end-to-end data solutions, defend those decisions in architecture reviews and proposals, and translate ambiguous business requirements into concrete, defensible technical designs.

• Own end-to-end data Solutioning selecting the right services and patterns for each use case
• Lead solutioning and architecture discussions with business stakeholders and clients, translating requirements into technical designs
• Define data ingestion, ETL/ELT, and pipeline strategies from internal and external source systems
• Design and govern the data transformation and orchestration layer using tools such as dbt, Airflow, or equivalent
• Define data governance, security, lineage, and access control patterns across environments
• Partner with application, analytics, and AI/ML teams on how they consume and query data
• Produce and present architecture diagrams, trade-off analyses, and technical proposals to leadership and clients
• Identify data gaps against business requirements and recommend sourcing or integration strategies
• Guide cost optimization and performance tuning across the data platform
• Mentor and provide technical direction to data engineers

Good To Have: 

•      Experience working on Proposals.

• 8–10 years in data engineering  including at least 3+ years in a solutioning, architectureMerc
• Demonstrated experience designing and delivering data architectures on AWS in production
• Experience presenting architecture decisions directly to clients or senior stakeholders
• Cross-industry experience is a plus