Centrical, founded in 2013, is convinced that employees are the center of business success. We operate from offices in New York City and Israel. And are proud to have an expanding list of enterprise businesses as customers, including Microsoft, Teleperformance, Synchrony Financial, Webhelp, and Swiss Life, among others.

You’ll work day to day with R&D and the Data team, embedded in the development lifecycle, not in a silo. This is a role with real autonomy and real impact: the decisions you make about

schema, tuning, and capacity are felt directly by enterprise customers at scale.

The role includes participation in an on-call rotation for production database incidents.

What you’ll do:

• Own the health, performance, and availability of our MSSQL production estate.

• Design and tune schemas, indexes, queries, and stored procedures for large-scale, high-concurrency workloads.

• Lead HA/DR: backup and restore strategy, replication, failover, recovery testing.

• Manage and optimize Amazon Redshift clusters, including distribution/sort key design, WLM, and query performance.

• Own schema versioning and migration pipelines integrated into CI/CD (we use Flyway).

• Partner with R&D on schema design, migrations, and release readiness; review data access patterns before they reach production.

• Build monitoring, alerting, and capacity planning so problems surface before customers see them.

• Drive automation of routine DBA work, and define standards and runbooks.

• Use AI tools (Claude, Copilot, and similar) as part of daily work: generating and reviewing SQL, building automation scripts, drafting runbooks, and accelerating troubleshooting.

Requirements:

• 6+ years as an MSSQL DBA, at expert level: query optimization, execution plans, indexing strategy, locking and concurrency, T-SQL.

• Proven experience with large-scale databases: high volume, high concurrency, multiterabyte, and the tuning that comes with that scale.

• Hands-on production experience with Amazon Redshift, or a comparable MPP warehouse (Snowflake, BigQuery) with willingness to go deep on Redshift.

• Schema versioning and migration tooling integrated into CI/CD (we use Flyway; Liquibase or similar experience transfers).

• Strong HA/DR, backup/recovery, and replication experience.

• Scripting for automation (PowerShell, Python, or similar).

• Practical experience using AI assistants (Claude, ChatGPT, Copilot, or similar) to produce real work: scripts, queries, automation, documentation.

Nice to Have:

• Experience migrating from MSSQL to PostgreSQL: schema and stored procedure conversion, data migration, application cutover.

• Cloud database experience on AWS (RDS)

• Multi-tenant SaaS environments

• MongoDB or other non-relational engines

• ETL/ELT tooling and modern data stack exposure

• Database security and compliance (SOC 2, GDPR).