Senior Data Platform Engineer

AAIS (American Association of Insurance Services); United States; On-site; USD 170,000 - 720,000; Full time

Job summary

AAIS is seeking a Senior Data Platform Engineer to shape its modern data ecosystem. The role focuses on designing secure database environments, optimizing cloud infrastructure, and developing scalable data solutions. Candidates must have a Bachelor’s degree along with significant experience in data engineering and administration.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Disability insurance

Qualifications

• 5+ years of experience in data engineering, data architecture, or database administration.
• Proficient in SQL and Python.
• Experience with AWS cloud tools and Linux environments.

Responsibilities

• Design and maintain secure, high-performance database environments.
• Administer and tune data solutions within AWS cloud.
• Develop and manage robust ETL/ELT pipelines.

Skills

SQL

Python

Data modeling

Metadata management

System integration

Education

Bachelor’s degree in Business Information Systems, Computer Science, Data Engineering, or related field

Tools

AWS

Apache Spark

ETL/ELT tools

Linux

Job description

Since 1936, American Association of Insurance Services (“AAIS”) has served the property and casualty insurance industry as the only national not-for-profit advisory organization governed by its member companies. We are committed to evolving with changes in the insurance industry, adding value to our members, regulators, and the industry with responsive products and insights.

The Data Solutions team at AAIS is seeking a seasoned and versatile data professional who excels at tackling complex challenges, embraces a multifaceted role, and consistently takes initiative. This is not a task-driven, reactive position. This is an excellent opportunity for someone who naturally identifies gaps, asks thoughtful questions, and delivers strategic, high-impact solutions.

Purpose

As the Senior Data Platform Engineer, you will play a pivotal role in shaping and sustaining AAIS’s modern data ecosystem. From designing and managing robust database environments to optimizing our cloud infrastructure, architecting scalable data solutions, and developing efficient pipelines, you will be central to enabling data-driven decision-making across the organization.

Responsibilities

• Design and maintain secure, high-performance database environments (e.g., SQL Server, PostgreSQL, Oracle, Cloudera, Snowflake), ensure integrity, recoverability, and availability.
• Administer and tune data solutions within AWS cloud, including storage services such as S3, and Snowflake.
• Implement and manage role-based access controls (RBAC) and data security policies across data platforms to ensure appropriate access, compliance, and governance.
• Architect modern data platforms that are scalable, resilient, and aligned with enterprise data needs and governance standards.
• Develop and manage robust ETL/ELT pipelines using tools like AWS Glue, Apache Spark, Python, and Informatica to support reliable and consistent data delivery.
• Partner with cross-functional stakeholders to understand data requirements, ensure data quality, establish and enforce role-based access, and drive architecture decisions that align with business strategy.
• Automate workflows and deployment processes through infrastructure-as-code, CI/CD, and monitor frameworks to ensure performance and scalability.
• Continuously evaluate and recommend tools, technologies, and practices that improve the agility, security, and value of our data landscape.
• Work confidently in Linux-based environments, including using shell scripting and command-line tools to support automation, troubleshooting, and data operations.
• Perform additional duties as assigned or requested.

Knowledge, Skills, and Abilities

• Takes initiative and thrives in dynamic, fast-paced environments.
• Approaches complex challenges with patience, creativity, and a solutions-oriented mindset.
• Strong collaborator who communicates clearly and listens actively.
• Contributes to a positive, team-driven culture.
• Continuously seeks opportunities to improve, automate, and scale processes.
• Embraces change, feedback, and new technologies as opportunities for growth.
• Excellent organizational and project management skills.
• Ability to work effectively both independently and in a team environment.
• Ability to communicate effectively across multiple channels and asynchronously in a remote-first working environment.

Requirements

• Bachelor’s degree in Business Information Systems, Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering, data architecture, or database administration.
• Proven track record with both on-premises and cloud-based data platforms
• Proficient in SQL and Python.
• Comfortable working with modern cloud data tools.
• Hands-on experience in Linux-based environments, including scripting and system-level operations.
• Strong understanding of Data modeling, Metadata management, and System integration.
• Knowledge of data governance, security, and data quality best practices.
• Experience with the following is a plus: CI/CD pipelines, Terraform, Apache Spark, Data catalog tools.
• AWS Certified Data Engineer, Solutions Architect, and/or DevOps Engineer credentials preferred.
• Minimum travel is required for annual all-company gathering or team design sessions (less than 5% of the time).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management, Business Development, and Strategy/Planning

• Industries

  Insurance

Referrals increase your chances of interviewing at AAIS (American Association of Insurance Services) by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Disability insurance

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