Top Tech Jobs & Startup Jobs

Architects and implements scalable data pipelines and enterprise data solutions spanning data lakes, warehouses, marts, and distributed systems. Designs dimensional and semantic data models, curated datasets, and Power BI reporting solutions with DAX, security, governance, and performance optimization. Establishes data lineage, metadata, stewardship, compliance, and secure access practices. Collaborates with stakeholders to translate business and reporting requirements into reusable analytics assets, while supporting AI and MLOps data pipelines across cloud and hybrid platforms.

Own product planning, requirements, backlog prioritization, user stories, and acceptance criteria for payroll, HR, and financial products. Collaborate with engineering, design, QA, compliance, operations, and business stakeholders throughout Agile delivery. Support sprint ceremonies, UAT, post-release validation, product performance monitoring, user feedback, regulatory compliance, and roadmap development. Conduct functional analysis and market benchmarking to improve payroll, HR systems, and FinTech solutions.

Design, develop, and maintain interactive Power BI/Fabric dashboards, conduct data analysis to surface trends and insights, collaborate with stakeholders to gather requirements, ensure data quality through ETL and modeling, and present findings to inform business decisions.

Design and implement scalable, resilient backend solutions; re-architect products for serverless/containerized cloud; ensure code quality, security, accessibility and HIPAA compliance; conduct code reviews; support onboarding, POCs, vendor escalations, and respond to technical RFPs.

Lead design and implementation of advanced analytics and machine learning solutions. Engage with stakeholders to drive data-driven decisions and deliver measurable business outcomes.

Design, build, and optimize scalable Azure cloud data platforms and high-performance ETL pipelines using Synapse, ADF, Spark, SQL, and Python. Implement data models, DataOps/CI-CD, quality checks, cost and performance optimizations, troubleshoot production issues, and collaborate with clients and stakeholders while mentoring junior engineers.