Jobs at Cuesta Partners

Leads data engineering consulting engagements, serving as a subject matter expert and data architect. Designs scalable data environments, models, pipelines, integrations, warehouses, and visualizations while ensuring quality and governance. Leads architectural decisions, project delivery, technology strategy, and AI-augmented development practices. Mentors technical teams, collaborates with data scientists, analysts, clients, and stakeholders, and drives process improvements and innovation. The remote role may require infrequent travel to the United States.

Develop scalable, secure data pipelines and end-to-end data solutions for consulting clients. Collect, clean, transform, and analyze complex datasets; apply statistical methods; create models, visualizations, reports, and dashboards; and provide actionable recommendations. The role also involves troubleshooting system issues, supporting releases and downtimes, maintaining data quality and controls, collaborating with stakeholders, and mentoring junior developers. Remote work includes occasional infrequent travel to the United States.

Design and build end-to-end data solutions and pipelines using modern cloud platforms; ingest, transform, and make data available for BI and downstream consumers. Partner with business stakeholders, implement CI/CD, testing, observability, and documentation, triage performance issues, and support delivery across client engagements.

The Data & AI/ML Solutions Architect designs cloud-native architectures, advises clients on AI strategies, mentors teams, and evaluates emerging tools.

As a Data Scientist, analyze complex datasets, build predictive models, and deliver data-driven solutions while mentoring others and collaborating with clients.

Responsible for leading data engineering efforts, mentoring teams, and delivering end-to-end data solutions while ensuring best practices and quality standards. The role involves collaborating with various stakeholders to optimize data architecture and contribute to strategic decision-making.

The Data Visualization Engineer designs and implements data models and visualizations in Power BI while ensuring data accuracy and quality for clients' decision-making processes.

The Data Architect will design business data models, define data architecture frameworks, mentor teams, and enhance data governance across AI and data initiatives.

Looking for a Data Engineer to develop data solutions, optimize data pipelines, and support business analytics with technical expertise in SQL and ETL tools.

Lead design and delivery of cloud-native, integration-first AI solutions. Translate business needs into scalable AI architectures (LLMs, RAG), integrate data platforms and APIs, perform architecture reviews and risk assessments, mentor junior staff, and provide technical oversight across client engagements to ensure secure, maintainable, and impactful deployments.

Design, build, and deploy ML models and end-to-end pipelines; collaborate with data and MLOps teams to integrate, monitor, retrain, and optimize models; implement cloud-based scalable solutions and document processes.

Lead design, build, and deployment of production-grade Databricks data platforms across AWS/Azure. Architect scalable ETL/ELT pipelines with Spark/PySpark, manage Delta Lake and Unity Catalog, implement CI/CD and IaC, provide client-facing technical leadership, and mentor engineering teams.

Lead design and delivery of production-grade Databricks data platforms for enterprise clients. Build scalable ETL/ELT pipelines with Spark/PySpark, implement CI/CD and IaC for Databricks, manage Unity Catalog and Delta Lake governance, provide technical leadership to teams, and act as primary client technical contact.

Lead technology due diligence assessments for M&A transactions, provide strategic client advisory, manage technology risks, and mentor junior team members.

This role involves leading technology due diligence for private equity transactions, advising clients on tech-related risks and opportunities, and managing teams.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Design business data models and data architectures, mentor data teams, translate business requirements into technical specifications, and set standards for AI-augmented development practices.