Top Tech Jobs & Startup Jobs

Leads architecture standards, data modeling, and solution strategy across enterprise data modernization programs. Designs Snowflake and Databricks platforms, legacy migrations, validation and reconciliation frameworks, parallel runs, and cutovers. Chairs design reviews, advises client architecture leaders, and directs an enablement team creating reusable accelerators and playbooks. Requires deep MarTech expertise in identity resolution, customer data, audience segmentation, suppression, and campaign flows, while promoting AI-enabled engineering practices.

Leads the design, development, deployment, and monitoring of production-grade AI systems. Builds RAG pipelines, generative AI and conversational agents, multi-agent orchestration, automation workflows, forecasting models, and anomaly detection solutions. Owns the full AI lifecycle from data preparation through deployment and evaluation while optimizing performance, fairness, robustness, and explainability. Collaborates with technical and product teams to deliver AI-powered business solutions.

Design and ship governed autonomous-system frameworks and LLM applications for regulated enterprise clients. Own platform architecture, evaluation harnesses, multi-tenant identity and authorization, compliance controls, and AI unit economics. Mentor engineering leaders and partner with go-to-market teams on technical positioning and executive architecture narratives.

Designs and implements scalable Databricks Lakehouse data architectures, ETL/ELT pipelines, and batch or real-time processing solutions. Uses Spark, Delta Lake, SQL, cloud platforms, orchestration tools, and governance frameworks to optimize performance, cost, security, and scalability. Collaborates with stakeholders to translate business needs into technical solutions, integrates enterprise systems, supports migrations, and provides technical leadership and mentoring to data engineering teams.

Designs end-to-end Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and batch or real-time data processing solutions. Uses Spark, Delta Lake, Unity Catalog, SQL, and cloud services to optimize performance, cost, governance, and security. Translates business needs into technical solutions, integrates enterprise systems, and provides technical leadership and mentoring to data engineering teams.

Analyze commercial real estate data to identify trends, validate data quality, and deliver actionable insights. Build optimized SQL queries, Power BI dashboards, DAX models, and governed datasets using Snowflake, PostgreSQL, and enterprise data platforms. Apply Python for transformation, automation, and advanced analytics, including AI/ML concepts. Partner with executives and stakeholders to gather requirements, present findings, and maintain documentation for data pipelines, models, and reports.

Leads the design, implementation, modernization, and migration of enterprise Microsoft Fabric data platforms. Provides technical direction across ingestion, transformation, storage, semantic modeling, analytics, and reporting. Establishes scalable architecture standards, governance, security, performance, and operational practices while guiding distributed teams and stakeholders. Owns solution reviews, roadmaps, estimation, delivery planning, mentoring, code reviews, troubleshooting, optimization, and hands-on execution.

Leads end-to-end execution of large-scale technology programs and strategic initiatives. Oversees planning, governance, risk management, budgets, quality, KPIs, and delivery metrics across concurrent cross-functional projects. Drives Agile and Scrum best practices, ensures timely program delivery, and builds relationships with executives, customers, partners, and internal stakeholders while fostering accountability, collaboration, innovation, and continuous improvement.

Develop and maintain responsive web applications with React.js and cross-platform iOS and Android applications with React Native. Build reusable components, integrate RESTful backend services, optimize performance, troubleshoot issues, support deployments, and collaborate with design, product, and development teams. Participate in code reviews and apply development best practices. Work with mobile capabilities such as notifications, permissions, biometrics, and native integrations.

Develop and maintain scalable RESTful APIs using .NET technologies. Collaborate with cross-functional teams, optimize performance, implement authentication and authorization, integrate third-party services, troubleshoot systems, and uphold code quality through reviews and best practices. Participate in Agile/Scrum ceremonies, mentor junior developers, and support API upgrades. The role also involves SQL Server development, API documentation, version control, and potentially DevOps, cloud, microservices, containerization, and message-broker technologies.