- 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

- 1. Assess the current estate: inventory, backup and recovery posture, high availability configuration, monitoring and alerting gaps, access model, capacity, and cost.

- 2. Produce a written state-of-the-estate and a prioritized remediation plan

- Near-term priority

- 1. 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

- 2. 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

- 1. Full ownership of administration,



operation,s and optimization for all relational databases: SQL Server (self-managed on EC2) and MySQL (RDS)

- 2. Performance tuning, monitoring and alerting, backup and recovery, high availability and failover, security and access management, capacity and cost

- Maturing the estate

- 1. 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

- 2. Own data observability: monitoring, alerting, and capacity forecasting against agreed service levels

- 3. Establish backup and DR testing, access governan,ce and change control that stand up to SOC 2 and our cyber insurer

- 4. Produce and maintain a data platform roadmap covering both relational stacks, Snowfl,ake and the analytics estate

- 5. Set direction for the data engineering team on database matters

- Secondary

- 1. Snowflake administration, including usage and cost monitoring

- 2. Database development -- stored procedures, schema design, query optimization

- 3. Data warehouse and data engineering work alongside the data platform team; support internal and external analytics and BI

📌 Lead Database & Data Platform (LATAM remote) (Argentina)
🏢 Zeo Consulting
📍 Argentina