Summary

RevStar is a dynamic team of engineers, UX designers, and product managers committed to putting your business first in the pursuit of excellence. As an AWS Advanced Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value for our clients.

We are passionate about what we build and how we build it. Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality - principles that underpin every role, from architecture and design to coding and delivery. We approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes.

At RevStar, our people are our greatest resource. We foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.

The Senior Technical Lead, Data & AI Engineering is responsible for providing technical leadership across complex data and AI initiatives—bridging the gap between architecture, engineering execution, and business outcomes. This role requires a hands-on leader who can define scalable architectures, guide data engineering teams, and ensure successful delivery of cloud-native data and AI solutions that drive measurable value for enterprise clients.

Role and Responsibilities

• Define and lead the architecture for large-scale data and AI projects using AWS cloud-native technologies and modern data frameworks.

• Translate business and analytical needs into end-to-end data platform designs encompassing ingestion, processing, storage, and visualization.

• Provide hands-on technical oversight and mentorship to engineering teams, ensuring high standards of code quality, performance, and scalability.

• Evaluate and implement best practices for MLOps, data governance, and model deployment in production environments.

• Lead technical delivery for multiple client engagements, ensuring solutions are delivered on time, within scope, and aligned with business goals.

• Collaborate closely with project managers and product owners to refine requirements, define milestones, and manage technical risks.

• Ensure adherence to RevStar’s delivery frameworks, code review processes, and documentation standards.

• Troubleshoot complex technical issues, providing guidance and resolution strategies for both data and infrastructure-related challenges.

• Partner with engineering, DevOps, and product teams to design integrated data and AI solutions that leverage RevStar’s multi-disciplinary expertise.

• Work with AWS Solution Architects and Partner teams to optimize architectures for scalability, security, and cost-efficiency.

• Contribute to internal technical initiatives, playbook development, and capability-building across the Data & AI Engineering practice.

• Stay ahead of emerging data, AI, and cloud technologies to inform RevStar’s strategic technical roadmap.

• Evaluate new tools and frameworks that enhance delivery speed, data quality, and insight generation.

• Promote a culture of experimentation, knowledge sharing, and continuous learning within the Data & AI team.

Please note that this job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible responsibilities, tasks, and duties.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 8+ years of experience in data engineering, cloud architecture, or software development, with at least 2+ years in a technical leadership role.
• Proven experience delivering large-scale data platforms or AI-driven solutions in a consulting or enterprise environment.
• Deep hands-on experience with AWS cloud services (e.g., S3, Glue, Redshift, Lambda, SageMaker, Athena, EMR).
• Proficiency in Python, SQL, and modern data frameworks such as Spark, Airflow, or dbt.
• Strong understanding of data modeling, ETL/ELT pipelines, and data warehousing best practices.
• Experience operationalizing machine learning models and managing MLOps pipelines.
• Familiarity with data governance, security, and compliance practices in the cloud.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated ability to lead distributed teams, mentor engineers, and drive technical excellence.
• AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty.
• Databricks Certified Data Engineer or equivalent certification.
• Familiarity with Terraform, Docker, or Kubernetes is a plus.

If you're passionate about AI/ML and cloud technologies and want to work in a fast-paced and dynamic environment, we'd love to hear from you!

Location

Remote, United States

Company Benefits

• Paid Time Off – Take the time you need to recharge and stay productive.
• Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
• Comprehensive Health Coverage – Medical, Dental, Vision, FSA, HSA, Short-Term & Long-Term Disability.
• Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
• Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
• Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
• Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
• Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.