Domain
Database Management
Skill Profile
Wide-column store, CQL, partitioning, replication strategies, compaction, tuning
Roles
2
where this skill appears
Levels
5
structured growth path
Mandatory requirements
8
the other 2 optional
Database Management
NoSQL Databases
3/17/2026
Choose your current level and compare expectations. The items below show what to cover to advance to the next level.
The table shows how skill depth grows from Junior to Principal. Click a row to see details.
| Role | Required | Description |
|---|---|---|
| Data Engineer | Required | Writes basic CQL queries to read and insert data into Cassandra tables. Understands partition keys and clustering columns in existing schemas. Follows data modeling guidelines established by the team. |
| Database Engineer / DBA | Performs basic Cassandra cluster health checks using nodetool. Understands replication factors and consistency levels at a conceptual level. Executes routine maintenance tasks like repairs and compactions under guidance. |
| Role | Required | Description |
|---|---|---|
| Data Engineer | Required | Designs Cassandra data models optimized for query-driven access patterns. Implements efficient batch operations and manages TTL-based data lifecycle. Tunes read/write consistency levels to balance latency and durability. |
| Database Engineer / DBA | Designs table schemas balancing partition size and read performance in Cassandra. Configures compaction strategies and manages tombstone accumulation. Monitors cluster metrics and resolves hotspot and latency issues. |
| Role | Required | Description |
|---|---|---|
| Data Engineer | Required | Architects multi-datacenter Cassandra deployments for real-time data pipelines. Optimizes cluster topology, compaction strategies, and partition distribution for petabyte-scale workloads. Designs migration strategies between schema versions. |
| Database Engineer / DBA | Required | Architects Cassandra clusters for high-availability across multiple datacenters. Designs replication and sharding strategies for petabyte-scale systems. Leads capacity planning, disaster recovery procedures, and performance tuning at scale. |
| Role | Required | Description |
|---|---|---|
| Data Engineer | Required | Defines product-level data strategy. Establishes Apache Cassandra standards. Conducts data schema and scaling strategy reviews. |
| Database Engineer / DBA | Required | Defines data strategy at the product level. Establishes Apache Cassandra standards. Conducts data schema and scaling strategy reviews. |
| Role | Required | Description |
|---|---|---|
| Data Engineer | Required | Designs NoSQL strategy for data platform: Cassandra for high-write ingestion, ScyllaDB for low-latency lookups. Defines data modeling best practices for wide-column stores and Spark integration for batch analytics. |
| Database Engineer / DBA | Required | Defines Cassandra strategy for the data platform: partition key design for DBA metrics, consistency levels for different use cases, multi-DC replication. Evaluates Cassandra vs ScyllaDB for DB monitoring time-series workloads. |