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Leads the design, development, deployment, and operationalization of machine learning models and predictive analytics pipelines. Works with large datasets, data engineers, and cross-functional teams to build cloud-based solutions, automate workflows, and apply statistical modeling. Mentors junior data scientists, communicates recommendations to stakeholders, and contributes to MLOps and model-development best practices.

Lead the design, development, deployment, and operationalization of machine learning models and predictive analytics pipelines. Collaborate with engineering, product, analytics, and data engineering teams to build scalable cloud-based data solutions, automate workflows, and translate business challenges into data-driven recommendations. Mentor junior data scientists, establish best practices, and communicate findings to stakeholders and executives.

Collaborates with clients to define business needs, designs data and business architectures, identifies data and AI opportunities, and translates requirements into technical specifications. Leads workshops, gap analyses, stakeholder alignment, governance improvements, and solution implementation. Develops delivery frameworks and accelerators while supporting client relationship growth and quantifying business value and ROI.

Collaborates with clients to define business needs, design data and business architectures, identify AI and analytics opportunities, and translate strategy into technical requirements. Leads workshops, gap analyses, stakeholder alignment, and solution implementation while improving data governance and delivery practices. Develops reusable frameworks, quantifies business value, and supports client relationship expansion.

Consults with clients to define business needs, design data-driven architectures, identify AI and process-improvement opportunities, and translate strategy into technical requirements. Leads workshops, aligns stakeholders, supports implementation teams, develops delivery frameworks, and helps expand client relationships. The role requires strong SQL, visualization, data governance, analytics, client-facing consulting, stakeholder management, and business analysis expertise.

Design, build, deploy, and operationalize scalable data engineering solutions for customers. Responsibilities include developing pipelines, transforming and cleansing data, analyzing sources, implementing governance, security, and quality practices, testing data movement and transformation code, resolving defects and incidents, and advising customers on technical decisions. The role also supports AI, machine learning, business intelligence, and data product adoption while collaborating across teams and educating end users.

As a Solutions Architect, guide customer data architecture needs, design and implement data solutions on Databricks, manage multiple accounts, and collaborate with sales teams while ensuring data governance and quality.

Design, build, and operationalize scalable data solutions for customers; support data ingestion, transformation, quality, governance, and analytics to enable AI/ML and BI. Troubleshoot, test pipelines, collaborate with teams, and guide customers on technical decisions.

Design and deploy end-to-end data architectures on Databricks, split between billable delivery and pre-sales; lead client engagements, mentor teams, manage accounts, ensure data governance, quality, security, and production readiness, and deliver technical documentation and presentations.

Design and implement Databricks-centered data architectures and pipelines, support pre-sales technical efforts, lead client engagements, mentor teams, ensure data governance/security, and deliver production-ready ETL/ML solutions.