AI/ML Senior Engineer Role

Design and develop data pipelines using Python, Spark, Databricks, SQL, and SSIS.

Implement ETL/ELT workflows with Apache Airflow and SSIS.

Analyze customer datasets for insights

Explain model performance and risk policies

Build and manage AI tooling stack and system infra for Field Engineering

Set standards for AI-driven development and scale capabilities

Architect data governance frameworks for compliance data risk

Enforce data contracts between Producers and Compliance/CX/IOS

Design and develop Power BI reports and dashboards aligned to business goals

Build and maintain reusable Power BI assets

Mature the Analytics function at Jellyfish

Drive data-informed decision-making across various teams

Lead technical implementation & optimization of Altimate AI platform

Translate customer needs into technical requirements

Set technical direction for data engineers

Design and build scalable data pipelines

Lead and mentor engineers in designing technical solutions

Ensure performance, security, scalability, and data integration

Lead and mentor a team of engineers

Design and implement end-to-end technical solutions

Work on impactful customer technical Big Data projects

Guide strategic customers in implementing transformational big data projects

Lead and drive product initiatives for AI and Data Product Platform

Adopt and implement data mesh framework across the organization

Lead and mentor engineering team

Design and implement data solutions

Design and implement data solutions

Lead and mentor engineers

Work with clients on big data challenges using Databricks platform.

Provide data engineering, data science, and cloud technology projects.

Lead multiple product initiatives from concept to delivery.

Drive data business transformation and enhance customer outcomes.

Deliver insights and analytics to drive strategic opportunities

Turn messy data into reliable, analysis-ready datasets

Lead technical implementation and optimization of data platform

Serve as primary technical contact for key accounts

Lead data strategy and architecture for Blackbaud

Design breakthrough products in Data Intelligence

Design and oversee enterprise-wide data architecture

Develop strategies for data platforms and analytics

Modernize and optimize legacy data warehouse systems

Design and implement scalable data pipelines

Deliver enterprise data platform solutions

Administer and optimize big data environments

Lead data engineering projects

Mentor and guide engineering teams

Design and implement scalable data architectures

Lead and mentor engineering teams

Design and implement scalable data solutions

Lead and mentor engineering teams

Design and maintain scalable data pipelines

Ensure data quality, reliability, and performance

Deliver impactful big data solutions for clients

Lead and manage technical data teams

Design and optimize scalable AI/ML models

Integrate AI solutions across business units

Deliver technical big data solutions for clients

Guide customers through cloud migrations and AI adoption

Lead strategic product initiatives for data and AI platforms

Drive organizational adoption of data mesh framework

Design and optimize scalable data pipelines

Ensure data quality and reliability

Design and implement scalable data solutions

Lead and mentor engineering teams

Architect and implement scalable data solutions

Lead and mentor engineering teams

Design and implement scalable data platforms

Lead and deliver cloud and big data projects

Architect and deliver scalable data solutions

Lead and mentor engineering teams

Deliver enterprise data platform solutions

Administer and optimize distributed systems

Lead and manage distributed data engineering teams

Define and execute strategic direction for data platforms

Architect and deliver complex data platform solutions.

Provide production support and optimization for big data and cloud technologies.

Lead data governance strategy and execution

Build and manage governance-aware data pipelines

Design and implement scalable data solutions

Lead and mentor engineering teams

Design and lead data architecture solutions

Set and communicate data strategy and governance

Modernize and optimize legacy data warehouse systems

Design and build scalable, reliable data pipelines

Lead global data governance strategy and execution

Build and maintain governance-aware data pipelines

Lead customer big data projects

Design and deploy scalable data solutions

Deliver customer big data projects

Design and deploy data architectures

Architect end-to-end data solutions

Lead and mentor engineering teams

Architect scalable and reliable data pipelines

Develop and launch self-serve analytics products

Lead and mentor data engineering teams

Architect and deliver scalable cloud data solutions

Deliver scalable data engineering solutions for enterprise clients.

Design and build cloud-native data pipelines and server-side applications.

Deliver customer big data projects

Design and deploy data architectures