Lead Database & Data Platform Engineer

Required skills

Requirements

7+ years of professional experience
Prior end-to-end ownership of a production database estate, including assessing an inherited environment and driving it to a measurably better state
Experience setting data standards and reviewing schema and data-access design across application teams
Deep Microsoft SQL Server administration experience
Experience with MySQL administration
BI/analytics tools (e.g., Metabase, QuickSight)
Hands-on experience with SQL Server installation and configuration on a self-managed server (EC2 or on-premise), including OS-level work beneath a live production instance
Experience with Windows Server administration, including OS upgrades and migrations
Experience with SQL Server high availability (Always On Availability Groups, failover clustering)
Experience with AWS (EC2, RDS, S3, IAM, CloudWatch)
Proficiency with AI tools (e.g., Claude) applied to daily work
Strong communication skills in both spoken and written English

Experience assessing multiple data tools, including their implementation, configuration, and setup, and building a plan of attack to improve them
Ability to take a holistic, cross-team view of the data space instead of solving isolated problems
Track record of unifying fragmented approaches into a consistent, company-wide data strategy
Experience evaluating how multiple data tools were implemented, configured, and set up (e.g. Snowflake, Metabase, AWS Glue, SQL Server, MySQL, EnableX, etc.)

Startup experience
Snowflake administration and development
ETL pipelines and tools (e.g., Rivery, dbt)
Recently performed SQL Server upgrade, including source and target versions, in-place or side-by-side, and the Windows Server version pairing
Data warehouse design and development
Data lake on S3
Data governance and data quality practice
SQL Server migration to a managed service
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

Own the database and data estate end to end: assess what we have, run a time-critical upgrade as the first job, and then set the direction and standards that mature the whole environment
The company is the product of a merger, so we run two stacks — C#/.NET on Microsoft SQL Server, and TypeScript/JavaScript on MySQL — both in AWS
Our SQL Server is BYOL on EC2: we install, configure, and operate it ourselves, an on-premise setup that happens to live in AWS. MySQL runs on RDS

First 90 days

Assess the current estate: inventory, backup and recovery posture, high availability configuration, monitoring and alerting gaps, access model, capacity, and cost.
Produce a written state-of-the-estate and a prioritized remediation plan

Near-term priority

Upgrade the Windows Server OS hosting our production SQL Server estate — Windows Server 2016 → 2022 — across an Always On Availability Group cluster, with no data loss and minimal downtime. Must do before the end of 2026
Then upgrade the SQL Server version from our current SQL Server 2017, and own the recommendation on whether we stay self-managed on EC2 or move to AWS RDS managed SQL Server after the upgrade.

Core ownership

Full ownership of administration, operation,s and optimization for all relational databases: SQL Server (self-managed on EC2) and MySQL (RDS)
Performance tuning, monitoring and alerting, backup and recovery, high availability and failover, security and access management, capacity and cost

Maturing the estate

Define and enforce database standards across the C#/.NET SQL Server and TypeScript/MySQL codebases; act as the technical authority on schema and data-access design for both engineering teams
Own data observability: monitoring, alerting, and capacity forecasting against agreed service levels
Establish backup and DR testing, access governan,ce and change control that stand up to SOC 2 and our cyber insurer
Produce and maintain a data platform roadmap covering both relational stacks, Snowfl,ake and the analytics estate
Set direction for the data engineering team on database matters

Secondary

Snowflake administration, including usage and cost monitoring
Database development — stored procedures, schema design, query optimization
Data warehouse and data engineering work alongside the data platform team; support internal and external analytics and BI

Interested in this job?

We're still accepting applications for this position

Refer a friend

LATAM · 100% Remote Long-term · 40h/week 7+ years

Your referral link

or share via

Link copied to clipboard