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Lightspeed DMS — Montevideo, Minnesota
Company Overview: Lightspeed is the leading provider of cloud-based software for dealerships, serving the Powersport, Marine, RV, Trailer, and Golf Car industries adding hundreds of dealerships to the Lightspeed community each year. Lightspeed’s Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including Sales, Parts, Service, Rentals, Payments, Accounting, and Customer Relationship Management (CRM). When implemented into their daily operations, Lightspeed helps dealers increase their profitability by selling more units, service, and parts, all while creating a more streamlined experience for customers.
Lightspeed is the most complete and integrated DMS in the industry with over 500 integrations with Original Equipment Manufacturers (OEMs), aftermarket parts and accessory distributors and dozens of other software tools that a dealership may use to run their business. Uniquely designed by dealers for dealers, and refined over the past 4 decades, Lightspeed empowers over 4,500+ dealers across North America with the tools and technology they need to manage their dealerships. Position Summary Lightspeed DMS is seeking a Senior PostgreSQL Database Administrator to own the fleet of database servers running on AWS (RDS and Aurora PostgreSQL): setting configuration baselines, defining operational standards, driving capacity and cost planning, and ensuring every database in the fleet is healthy, observable, and ready to scale with the business.
This role has two primary areas of accountability. First, you will partner with Software Engineers on database schema, query tuning, and system‑wide best practices that shape how the application interacts with the database. Second, you will partner with Cloud Engineers on cost efficiency, capacity planning, fleet health, observability, and performance.
Success looks like a fleet that runs to consistent standards, scales predictably, recovers cleanly, and supports engineers shipping database changes with confidence.
Key Responsibilities
Fleet Operations, Health & Capacity Establish standard configuration baselines across RDS and Aurora environments, and drive consistency through automation and Infrastructure as Code. Continuously evaluate fleet health — replication, failover readiness, storage growth, and bloat — and remediate systemic issues proactively. Define and maintain operational standards for observability, backup validation, maintenance windows, upgrades, and disaster recovery.
Develop database health scorecards and KPIs covering latency, saturation, replication health, cache efficiency, and resource utilization. Forecast compute, storage, and I/O growth trends across the fleet. Evaluate scaling strategies — instance sizing, storage type, read replica topology, RDS vs.
Aurora — and provide cost/performance recommendations to leadership. Manage parameter groups, engine settings, and autovacuum strategy tuned to actual workload. Query & Schema Performance Identify, diagnose, and tune slow or high-cost queries using EXPLAIN (ANALYZE, BUFFERS), pg_stat_statements, auto_explain, and Performance Insights.
Detect and remediate N+1 and other application-driven query patterns in collaboration with engineers. Tune index strategy — create, consolidate, or drop indexes based on workload analysis and bloat. Recommend schema changes — normalization, denormalization, partitioning, and table restructuring — driven by measured workload, not theory.
Guide use of PostgreSQL-native features where they fit: JSONB, full-text search, materialized views, generated columns, and relevant extensions. Application & Developer Partnership Embed with application teams during design and code review to evaluate database access patterns before they ship. ) and coach developers on writing efficient, index-friendly queries and avoiding common ORM anti-patterns.