• Design, develop, and maintain data pipelines for Data Warehouses • Build scalable solutions using AWS and GCP • Write efficient and optimized SQL, including analytical and window functions • Transform and model data using dbt and BigQuery • Orchestrate workflows using Airflow • Ensure data quality and implement testing for pipelines • Work in an Agile Delivery environment using JIRA and Confluence • Follow CI/CD best practices using GitHub or Bitbucket

• Serve as the technical expert who is responsible for the data foundation powering risk intelligence across the enterprise • Independently lead data architecture and engineering initiatives from conception through delivery • Define and implement the Microsoft Fabric architecture and data governance framework • Lead the design and maintenance of robust data infrastructure using Microsoft Fabric's medallion architecture • Lead data pipeline and transformation initiatives, establishing data governance standards • Partner with Analytics Developers, Architects, and Data Scientists to understand data requirements • Architect and build scalable, automated data solutions using Fabric pipelines and dataflows • Optimize data pipeline performance using Fabric's compute resources and data storage options • Lead migration and integration initiatives as new risk technologies and platforms are adopted • Anticipate and resolve complex data quality issues, working with source system owners and business partners • Build and maintain strategic relationships with risk data owners, assurance function partners, and enterprise data teams

• Manage and support data pipelines, ETL processes, and analytics platforms • Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting • Implement monitoring and observability using Datadog, Grafana, and Prometheus • Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines • Apply infrastructure-as-code principles for provisioning and automation of data environments • Support incident and request management via ServiceNow • Work closely with security and compliance teams to maintain data governance standards • Participate in Agile ceremonies within Scrum/Kanban models

• Define and own the architecture of cloud-based data platforms across client engagements. • Lead large-scale ETL and data platform implementations using tools such as Databricks, Snowflake, and equivalent technologies. • Establish reference architectures, delivery standards, and engineering best practices. • Oversee ETL orchestration strategies using tools such as Data Factory, Airflow, or enterprise ETL platforms. • Estimate, plan, and govern delivery across multiple projects and workstreams. • Partner with client stakeholders to align data platform design with business objectives. • Mentor, coach, and develop data engineers and technical leads. • Ensure platforms meet expectations for scalability, reliability, security, and cost efficiency. • Support pre-sales activities, including solution design and technical estimates.