Database architect

Qualifications

● 3-8 years experience in Cloud Database Administration

● Proficient in PostgreSQL database management, including installation, configuration, and performance tuning.

● Experience with Amazon RDS or Cloud SQL and managing databases in cloud environments.

● Proficient in PostgreSQL/MySQL database management, including installation, configuration, and performance tuning.

● Proven experience as a Database Administrator with a focus on

PostgreSQL/MySQL.

● In-depth knowledge of database design, implementation, and management for both PostgreSQL/MySQL environments.

● Familiarity with database security, backup procedures, and performance tuning for both systems.

● Strong analytical and problem-solving skills.

● Excellent communication and collaboration abilities.

● Relevant certifications (e.g., PostgreSQL Certified Professional, MySQLDatabase Administrator) are a plus.

Skills:

● Expertise in PostgreSQL/MySQL database management systems.

● SQL programming and query optimization for both databases.

● Data modeling and database design for PostgreSQL/MySQL.

● Backup and recovery procedures for both environments.

● Performance tuning and optimization for PostgreSQL/MySQL.

● Security protocols and measures for PostgreSQL/MySQL.

● Capacity planning and scalability for both systems.

Description :

Key Responsibilities :

Primary Database Expertise :

1. One resource should have PostgreSQL as their primary database expertise.

2. One resource should have MySQL as their primary database expertise.

3. One resource should have either PostgreSQL or MySQL as their primary database expertise.

Secondary Database Skills :

- Proficiency in other databases such as MongoDB, MSSQL, ElasticSearch, Oracle, and Redis is a plus.

- Hands-on experience with databases in cloud environments, including GCP, AWS, or Azure, is a must.

- Familiarity with database migrations on GCP, AWS, or Azure cloud platforms is advantageous.

Qualifications and Skills :

- Minimum of 4 years of hands-on experience with MySQL, PostgreSQL, and MSSQL databases.

- Strong logical thinking skills to analyze and solve complex database-related issues.

- Excellent communication and articulation abilities, with the capacity to interact effectively with both technical and non-technical stakeholders.

- Proficiency in handling customer calls and addressing their database-related queries and concerns.

- Experience in one of the following primary databases : PostgreSQL, MySQL.

- Knowledge of secondary databases like MongoDB, MSSQL, ElasticSearch, Oracle, and Redis is a plus.

- Prior experience with database administration in GCP, AWS, or Azure cloud environments.

- Familiarity with database migration processes on cloud platforms is a beneficial skill.

This role offers an opportunity to work with diverse database technologies and cloud platforms, making it an ideal position for a skilled Senior DBA who enjoys a dynamic and challenging environment. If you have a strong database background and are looking to take your career to the next level, we encourage you to apply.

Senior Database Administrator (DBA)

Database Reliability & Performance  •  Senior Individual Contributor

• Experience: 6–9 years in production database administration / engineering
• Level: Senior Individual Contributor (hands-on)
• Function: Data Platform — reliability, performance, and governance across relational and distributed SQL & NoSQL DBs.

About the Role

We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL  end to end as we scale.

This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership — translating priorities into a well-run, well-documented data platform.

What You'll Own

PostgreSQL Depth

• Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination.
• Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle — creation, retention windows, and safe drops.
• Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning.
• Execute zero-downtime schema changes using expand–migrate–contract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables.
• Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows.
• Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL.

NoSQL & Scale

• Data-model, deploy, and operate distributed NoSQL clusters — Cassandra and/or ScyllaDB — including partition/clustering key design, compaction strategy, repair, and node operations (bootstrap, decommission, scale-out).
• Lead the planned migration of high-volume payload tables from partitioned PostgreSQL to Cassandra/ScyllaDB: capacity planning, dual-write/backfill design, cutover, and validation.
• Tune distributed-store read/write paths, consistency levels, and cluster sizing for predictable latency at scale.
• Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores.

Operations, Reliability & DR

• Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates).
• Define and regularly test backup and disaster-recovery strategy — RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness.
• Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions.
• Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer.
• Establish production-change discipline: pre-flight and post-deploy verification, rollback criteria, and backup verification before destructive operations.

Security, Governance & Documentation

• Implement and maintain database access control — least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation.
• Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows).
• Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team.
• Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements.

Coding & Automation Bar (Required)

This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it.

• Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks.
• Comfortable with infrastructure-as-code (e.g. Terraform) and configuration management (e.g. Ansible) for reproducible database infrastructure.
• Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix.
• Fluent with Git-based workflows, code review, and CI for database migrations and tooling.

Required Qualifications

• 6–9 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning).
• Hands-on experience running at least one distributed NoSQL store in production — Cassandra or ScyllaDB strongly preferred (other wide-column/distributed stores considered).
• Proven ownership of backup/DR, monitoring, and incident response for production databases.
• Strong scripting/automation background (Python, Bash) and experience with IaC.
• Experience with managed cloud databases (AWS RDS or equivalent) and understanding of instance/parameter-group tuning, replicas, and failover.
• Experience designing for multi-tenancy and data isolation at scale.
• Clear written communication — able to produce runbooks, ADRs, and governance docs a team can rely on.

Nice to Have

• Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations).
• Familiarity with Redis as a cache tier and with CDC / streaming pipelines (e.g. Kafka, Debezium).
• Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer.
• Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes.

How You Work

• Ownership mindset — takes a directive and runs it to done, with sound judgment on trade-offs.
• Reliability-first and detail-oriented; disciplined about verification, rollback, and documentation.
• Collaborative in a high-performing engineering team; communicates clearly with developers and leadership.
• Pragmatic and scale-aware — designs for where the platform is going, not just where it is.