Senior AI-Driven Data Platform Engineer

SDL Tech Search; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

SDL Tech Search is seeking a Senior Data Engineer to join a hands-on team building AI-enabled data platforms in a cloud-first environment. You will design scalable data systems, collaborate with investment professionals and business leaders, and help shape governance, quality, and AI-driven product development across the organization.

Expect to work closely with stakeholders to accelerate data-driven decision making and to mentor engineers while contributing to architecture, standards, and

Qualifications

• 5+ years of experience in data engineering or related field.
• Hands-on experience with cloud data platforms and modern analytics ecosystems.
• Strong SQL, Python, and data engineering best practices.

Responsibilities

• Design and build scalable data platforms, pipelines, and analytics solutions that support enterprise reporting and decision-making.
• Develop and maintain modern data models that enable reliable, high-quality analytics across the organization.
• Build, test, and deploy data products using Snowflake, dbt, Python, and cloud-native tooling.
• Leverage AI-powered engineering tools to accelerate development and improve quality.
• Implement data governance, lineage, observability, and quality controls to ensure trust in data.
• Partner with business stakeholders to translate requirements into sustainable technical solutions.

Skills

SQL

Python

Data engineering

AI-enabled data platforms

Cloud-based data platforms

Mentoring

Tools

Snowflake

dbt

Terraform

Airflow

Dagster

CI/CD

Job description

SDL Tech Search is seeking a Senior Data Engineer to join a hands-on team building AI-enabled data platforms in a cloud-first environment. You will design scalable data systems, collaborate with investment professionals and business leaders, and help shape governance, quality, and AI-driven product development across the organization.

Expect to work closely with stakeholders to accelerate data-driven decision making and to mentor engineers while contributing to architecture, standards, and