Senior Data Science Platform Engineer

Role Description

At Fearless, we are seeking a Senior Data Science Platform Engineer as part of our Senior Consultant, Data and Analytics career path to support the production data science platform. This individual will engineer scalable AWS environments for advanced analytics, machine learning, and AI-assisted research while maintaining operational excellence and supporting future platform enhancements.

The Senior Consultant is an expert in data analysis, engineering, and science. This role will possess the necessary skills at an advanced level of proficiency to drive organizational transformation by:

• Architecting scalable data platforms
• Building advanced machine learning solutions
• Mentoring customers and teams to become data-driven organizations

The role involves working with executives, project teams, and internal leaders across departments to identify opportunities where data can accelerate missions, create efficiencies, and deliver technical excellence.

Work Location:

• This role operates largely in a remote capacity.
• Occasional travel to the customer location in Washington, DC may be required to support collaboration with federal stakeholders.

Responsibilities

• Collaborate with business stakeholders to translate analytical and research requirements into scalable technical solutions.
• Maintain Amazon SageMaker environments supporting machine learning workflows and model development.
• Support JupyterLab, RStudio, Plotly Dash Enterprise, and Quarto platforms for data science teams.
• Engineer scalable shared storage using Amazon FSx and S3 to enable cross-team data access.
• Develop AWS cross-account data pipelines to securely move and transform data across organizational boundaries.
• Build CI/CD automation to streamline platform deployments and reduce manual overhead.
• Optimize cloud costs and monitor usage anomalies to ensure responsible stewardship of federal resources.
• Produce SOPs, architecture documentation, and operational runbooks to support platform sustainability and knowledge transfer.
• Support AI-enabled analytics platforms by maintaining infrastructure that enables data scientists and analysts to develop, test, and deploy machine learning and artificial intelligence solutions.
• Develop test automation frameworks and scripts to validate infrastructure deployments, data pipelines, and system configurations.
• Support operations and maintenance (O&M) activities, including user assistance, incident response, system monitoring, and routine platform maintenance.
• Ensure compliance with organizational security standards and cloud governance policies by implementing security controls, conducting audits, maintaining access controls, and protecting sensitive data.

Impact

• Fosters collaboration with cross-functional teams.
• Coaches, mentors, and develops peers in data literacy, strengthening organizational decision-making.
• Earns the trust of customers and teammates by delivering world-class services.
• Drives accountability and delivery by ensuring project objectives are met on time and aligned with client priorities and Fearless standards of excellence.
• Anticipates risks and implements proactive solutions to keep initiatives on track.
• Takes ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed.
• Shapes client engagement and intelligence-gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes.

Qualifications

• Minimum of 10 years of experience designing enterprise data architectures, with at least 5 years focused on cloud-native data platforms.
• Experience working at or in support of the U.S. Securities and Exchange Commission (SEC), with knowledge of SEC business processes, systems, and regulatory mission.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
• Ability to obtain and maintain Public Trust clearance.
• Experience as an AWS Solutions Architect designing and implementing production systems.
• Proven experience with AWS Glue, SageMaker, FSx, and S3 in production data workflows.
• Proficiency in Python, R, and SQL for data pipeline development and analytics support.
• Experience working in Linux environments and managing infrastructure as code.
• Experience with GitHub for version control and collaborative development.
• Experience operating in a DevSecOps environment with automated security controls and compliance monitoring.
• Experience extracting and transforming data within AI and ML platforms for research and analytics.
• Experience with Agile Scrum methodologies supporting iterative platform delivery.

Preferred Experience, Skills, and Certifications

• Experience supporting Treasury, IRS, CFPB, FDIC, OCC, Federal Reserve, or similar regulatory agencies.
• AWS Machine Learning Specialty or AWS Data Engineer Associate certification.
• Experience working with multiple stakeholders to mentor technical teams and drive collaborative outcomes.

Skills and Competencies

• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions.
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole.
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
• Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery.
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations.
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making.
• Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction.

Physical Requirements

• Ability to sit for extended periods while working on a computer or during meetings.
• Must be able to travel occasionally to client sites or company meetings, which may involve driving or flying.
• Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills.
• Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds).

Benefits

• Flexible, life-friendly schedules
• 100% coverage for our medical HSA plan + HSA contributions
• Dental & vision covered 100% for you and your dependents
• Competitive premiums for HMO/PPO and dependent coverage
• 401(k) with 4% match & immediate vesting
• Paid Parental Leave and 12 weeks paid FMLA
• Generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave
• Up to 15 days for Jury Duty and Bereavement Leave
• Education, wellness, and tech allowances
• Referral bonus: $6K–$12K for each successful referral
• Pet insurance & discount plans
• Employee Assistance Program (EAP)
• Legal support, life insurance, disability coverage
• Performance-Based Bonuses