SQL Engineering, Data Platforms Manager

Role Overview

• Lead, mentor, and develop a distributed SQL engineering organization across onshore, nearshore, and offshore talent pools.
• Oversee the design, optimization, and maintenance of SQL Server, Aurora/Postgres, MongoDB, and DocumentDB environments.
• Own the workflows involving eCommerce rate loading, data ingestion, and large-scale data transformations.
• Ensure data models, schemas, and architectures support scalable, reliable, and performant systems.
• Guide data transformation strategies across databases and ensure consistency, and data quality across platforms.
• Drive engineering best practices including query optimization, indexing strategies, schema versioning, monitoring, and observability.
• Manage data promotion processes across development, QA, staging, and production environments.
• Ensure systems meet operational excellence standards including availability, performance, backup/recovery, and security.
• Partner with application development teams to optimize queries, APIs, and data access patterns.
• Collaborate with CloudOps/DevOps teams to support automation, CI/CD, and environment provisioning for database changes.
• Coordinate with global vendors and offshore partners to ensure delivery quality and consistency.
• Lead production incident response for data-related issues, including root-cause analysis and continuous improvement actions.
• Build a strong culture of ownership, quality, documentation excellence, and continuous learning.
• Provide coaching, performance management, and career development for SQL engineers and analysts.

Requirements

• 8+ years of experience in database engineering, data engineering, or data platform roles.
• 3+ years leading global, distributed technical teams (onshore/nearshore/offshore).
• Deep hands-on experience with SQL Server, PostgreSQL/Aurora, MongoDB, and Document DB.
• Strong background in database design, normalization/denormalization, schema modeling, and performance tuning.
• Experience building and managing data transformation workflows and relational-to-NoSQL data pipelines.
• Proven ability to manage database changes and data promotion across multiple environments.
• Strong understanding of production operations, including backups, monitoring, optimization, and troubleshooting.
• Experience with high-volume transactional or eCommerce systems is strongly preferred.
• Knowledge of cloud environments (especially AWS), ETL/ELT tooling, and CI/CD processes for database deployments.
• Experience with Gen AI solutions (e.g., AI-assisted SQL optimization, code generation, documentation automation, or data quality intelligence) is a significant plus.
• Strong communication skills with the ability to influence both technical and non-technical stakeholders.

Tech Stack

• AWS
• Cloud
• ETL
• MongoDB
• NoSQL
• Postgres
• SQL

Benefits

• Medical, Dental, and Vision Insurance
• Flexible Spending Account
• Health Savings Account
• 401(k) Plan with Company Match
• Company-paid Short-Term and Long-Term Disability
• Company-paid Life Insurance
• Paid Holidays and Vacation
• Employee Referral Program
• Employee Assistance Program
• Wellness Programs
• Paid Community Service Opportunities
• Tuition Reimbursement
• Ongoing Training & Personal Development
• And More!