• Serve as technical lead for early-stage innovation lab projects, working closely with the CINO and our Product, Design, and Delivery teams to shape technical direction for prototypes and new products and guiding design and implementation decisions. • Mentor engineers and collaborators, sharing best practices and fostering a culture of collaboration, psychological safety, and continuous learning in an agile, experiment-friendly environment. • Enable modern DevSecOps practices such as automated testing, CI/CD, infrastructure-as-code, and secure-by-default engineering. • Participate in business development and strategy efforts (proposals, presentations, etc.), when needed. • Rapidly prototype, validate, and iterate on new product ideas, balancing speed of learning with scalable, maintainable code. • Select and implement modern frameworks (React/TypeScript, Node, Python, etc.) and cloud services (containerized APIs, event-driven services, etc.) that enable fast experimentation. • Identify and mitigate technical risks early; clearly communicate trade-offs to non-technical stakeholders. • Support experimentation with AI-driven capabilities (LLMs, data pipelines, agentic tools) where appropriate. • Contribute reusable libraries, documentation, and internal tools that accelerate future innovation lab projects. • Partner with IT and Security teams to ensure prototypes run in sandboxed, compliant environments suitable for R&D. • In your first 30 days, you will complete new hire orientation training and familiarize yourself with the vision for the innovation lab. • Define the initial platform architecture including portal entry point, identity/auth approach, multi-tenant strategy, API gateway, and service boundaries. • Select foundational technologies (frameworks, languages, hosting environment, auth provider or build approach, database pattern). • Create architecture diagrams and engineering decision records to align with leadership and product direction. • Stand up the initial repo structure, monorepo or polyrepo approach, and foundational CI/CD pipeline skeleton. • Begin coding the Platform Shell / Portal (even if just a Hello World + placeholder UI). • Implement a basic working authentication flow (prototype only) to validate feasibility. • Review existing ideas in Linear and select one to implement as the first platform module and collaborate with the existing engineer to break down and begin implementation. • Partner with the Product Operations Manager to define agile development workflows and engineering rituals. • Begin documenting platform principles such as modularity, API-first, secure-by-default, and observability-ready. • After 60 days, deliver a functional login experience connected to cloud infrastructure. • Implement the first platform module from Linear using the new architecture. • Establish patterns/templates for reusable services or modules. • Deploy the platform scaffold into a development environment with automated deploys. • Refine sprint practices, backlog structure, and definition of done with the Product Operations Manager. • Begin mentoring engineers on using the platform architecture and process. • After 90 days, produce a platform roadmap and demonstrate the platform to leadership, articulating how additional features/products will plug into the foundation. • Deliver a working platform with authentication, portal access, and at least one production-ready module. • Establish guidelines for engineers joining the platform effort (documentation, contribution models, code conventions, etc.). • Enable rapid module creation through established templates and tooling. • Establish early success metrics for delivery velocity, platform adoption, and code quality.

• Build and extend batch pipelines using dbt for transformations and Dagster for orchestration, scheduling, and asset-driven lineage. • Develop and optimize BigQuery data models (dimensional, wide-table, or domain-oriented) to support analytics, experimentation, and reporting use cases. • Advance real-time streaming capabilities by implementing and maintaining Kafka/PubSub + Flink pipelines, primarily using FlinkSQL, to deliver low-latency datasets and event-derived metrics. • Design data platform standards: SDLC, naming conventions, modeling patterns, incremental strategies, schema evolution approaches, and best practices for batch + streaming including CI/CD and testing. • Improve reliability and observability by implementing monitoring, alerting, and SLAs/SLOs for pipelines and data quality. • Partner with analytics, product, and engineering teams to onboard new data sources, define contracts, and deliver trusted datasets. • Own platform operations including performance tuning, data quality, cost optimization, and scaling across both warehouse and streaming systems. • Design a unified serving layer architecture that cleanly exposes consistent, trusted datasets across both batch and streaming systems. • Establish strong data governance, reliability standards, and observability practices.

• Lead, design and develop Microsoft based business solutions using Dynamics 365 and Power Platform • Develop workflows, plug-ins, and entity modifications • Be involved in development using CRM SDK, C#, ASP.NET, SQL Server 2005, ADO.NET

• Own the end to end product development lifecycle of identifying, designing, and shipping large initiatives for clients and advisors. • Produce high-quality, production-ready, readable, maintainable code • Work cross functionally with product leadership, design, and business partners to deliver the best product.