Top Tech Jobs & Startup Jobs

Build and deploy full-stack data quality and governance features using AI coding agents as the primary coding tools. Integrate applications with Collibra and Soda APIs, develop Python/FastAPI back ends and React front ends, work with databases, review and secure AI-generated code, and maintain production deployments. The role emphasizes rapid iterative delivery, daily demonstrations, direct collaboration with technical leadership, and strong engineering judgment.

Engage with business stakeholders to identify challenges and translate needs into user stories, technical requirements, and solution designs. Use AI throughout development for solution design, coding, testing, debugging, and optimization. Implement AI-generated solutions in Databricks while ensuring scalability, performance, quality, and production readiness. Own delivery end to end, from discovery and requirements gathering through development, validation, and deployment.

Leads business and technology discovery for Data & AI transformation initiatives. Facilitates stakeholder workshops, assesses processes, systems, data, integrations, and platform maturity, prioritizes use cases, defines solution options, supports rapid prototypes, and develops target-state architecture, MVP recommendations, and implementation roadmaps. Bridges business stakeholders, architects, data and AI specialists, and engineering teams while delivering executive-ready recommendations.

Designs and maintains event-driven app-to-app integration pipelines using Azure Event Hubs and Kafka-compatible streaming patterns. Develops production-grade Python producer and consumer applications, integrates Azure services, and troubleshoots distributed real-time systems. The role also establishes event schemas and integration contracts, implements monitoring and alerting, and improves pipeline reliability, throughput, and latency. Familiarity with CI/CD and infrastructure as code supports scalable Azure deployments.

Build and maintain full-stack applications using React/Next.js and Java Spring Boot or Node.js on AWS. Design serverless, event-driven architectures and DynamoDB data models; create testing pipelines and sandbox environments; implement secure, maintainable code; translate architecture decisions into production systems; document APIs, runbooks, and data models; and communicate effectively with clients and executive stakeholders.

Leads the architecture, development, and delivery of cloud-native full-stack applications using React or Next.js, Java Spring Boot or Node.js, and AWS services. Owns client engagements from requirements through production, makes architecture decisions, manages integrations, maintains technical documentation, builds testing and sandbox environments, mentors engineers, and presents solutions to senior stakeholders.

Leads end-to-end data engineering solutions, including scalable Snowflake and dbt pipelines, data modeling, SQL transformations, CDC, ELT, quality frameworks, monitoring, and production deployment. Designs engineering standards, troubleshoots complex data issues, improves performance and cost efficiency, collaborates with stakeholders, leads technical reviews, and mentors engineers.

Designs and deploys production AI solutions and data platforms, leads architecture and implementation discussions, presents technical solutions to customers and executives, evaluates AI trade-offs, and identifies revenue-growth opportunities within existing accounts.

Administer, monitor, and maintain the enterprise Snowflake environment, including access controls, resource monitors, warehouses, and account settings. Troubleshoot technical, performance, and access issues across teams; evaluate new Snowflake capabilities; and promote best practices for query performance, cost management, and governance. Document platform standards and operational procedures while collaborating with data engineering, analytics, and platform teams.

Leads U.S. go-to-market and demand-generation strategy for enterprise technology services. Owns ABM, integrated campaigns, partner programs, executive events, industry marketing, marketing operations, funnel reporting, and pipeline attribution. Collaborates with sales, SDRs, executives, and technology partners to generate enterprise opportunities and revenue. Builds the marketing operating model, team, processes, and supporting technology while translating complex Data, AI, Cloud, Analytics, and Digital Transformation services into compelling buyer messaging.