Job Title: Senior Data Engineer Agentic AI & Automation
Key Technologies: Agentic AI, Generative AI, Data Engineering, Databricks, AWS Redshift, AI Automation, POCs, SDLC
Job Description
We are seeking an exceptional, highly skilled, and innovative Senior Data Engineer with strong hands-on expertise in Agentic AI, Artificial Intelligence, Data Engineering, Databricks, and AWS Redshift.
The ideal candidate will be a proactive problem-solver and self-starter who can independently identify opportunities for process optimization, automation, and AI-driven transformation.
This is a high-visibility role requiring strong technical leadership, innovative thinking, excellent stakeholder collaboration, and the ability to deliver impactful solutions with minimal supervision.
Key Responsibilities
Data Engineering Optimization: Assess, evaluate, and optimize existing data engineering processes, workflows, and architectures to improve efficiency, scalability, and performance.
AI & Automation Enablement: Proactively identify opportunities to leverage automation, Generative AI, and Agentic AI to streamline data engineering operations and business processes.
Proof of Concepts (POCs): Design, develop, and demonstrate innovative POCs, driving successful implementation and adoption of AI-powered solutions.
Agentic AI Implementation: Apply hands-on expertise in Agentic AI and AI-driven solutions within data engineering environments.
AI Across SDLC: Identify and implement AI-enabled solutions throughout the Software Development Life Cycle (SDLC) to improve development efficiency, quality, and productivity.
Problem-Solving & Innovation: Demonstrate exceptional analytical and problem-solving abilities while proactively identifying opportunities for continuous improvement.
Stakeholder Collaboration: Work effectively with technical teams, business stakeholders, and leadership to understand challenges, recommend innovative solutions, and build alignment.
Technical Leadership: Independently drive technical initiatives from concept through implementation, ensuring measurable business value.
Required Skills & Qualifications
Strong hands-on experience in Data Engineering, including designing, developing, and optimizing data pipelines and workflows.
Proven expertise in Agentic AI, Generative AI, and AI-driven automation within data engineering environments.
Solid hands-on experience with Databricks and AWS Redshift.
Experience identifying automation opportunities and translating innovative ideas into working POCs and production-ready solutions.
Strong understanding of AI applications across the SDLC.
Exceptional analytical, troubleshooting, and problem-solving skills.
Ability to collaborate with cross-functional teams and communicate effectively with business and technical stakeholders.
Demonstrated ability to independently lead initiatives and deliver results with minimal guidance.
Strong innovation mindset with the ability to proactively recommend and implement improvements.
Ideal Candidate Profile
We are looking for an individual who:
Is a self-starter, highly motivated, and results-oriented professional.
Demonstrates exceptional technical expertise and innovative thinking.
Takes ownership of challenges and drives solutions independently.
Proactively identifies opportunities rather than waiting for direction.
Can effectively influence stakeholders and build consensus around innovative solutions.
Combines deep technical knowledge with a strong understanding of business objectives.
Thrives in a high-visibility, fast-paced, and collaborative environment.
Position Highlights
This opportunity is ideal for a senior technical professional passionate about transforming traditional data engineering practices through Agentic AI, intelligent automation, and modern cloud data platforms.
The successful candidate will play a critical role in driving innovation, improving operational efficiency, and delivering next-generation AI-enabled data engineering solutions.
Thanks,
Hiring Manager,
StruesInc