Database Engineering — P4

DATADA.DATABASE6A4E.P4

P4P4 — Senior Professionalhigh0.90approvedglobalv1

Database Engineering — designs, implements, tunes, secures, and operates relational and NoSQL database systems (MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, DynamoDB) and managed cloud database platforms (Azure SQL, Cosmos DB, Snowflake, Redshift). Distinct from Data Pipeline/ETL Engineering (which centers on data movement and transformation workflows) and Data Modeling/Analytics focuses: this focus owns the database engine itself — performance tuning, backup/recovery, security configuration, schema design, clustering, and reliability of the persistence layer.

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Level

P4 · P4 — Senior Professional · 5–8 yrs

Function · Focus

Data & Database Engineering · Database Engineering

Market pay (median)

$109k ($86k–$139k)

Pay basis

function-anchored · wide bars

Focus — Database Engineering

Material SKILL differential vs the function baseline.

Responsibilities by level

What this person actually does at each level on the professional track — escalating scope, not one generic blob. Your level is highlighted.

Assists with routine maintenance tasks under supervision and executes pre-defined scripts against development and test databases
Monitors database health and helps troubleshoot basic issues under the direction of senior developers
Writes and tests simpler SQL queries and assists with data entry and migration tasks while ensuring data integrity
Performs backups and supports application developers, documenting database objects and application modules to maintain development standards
Participates in code reviews and learns SQL, indexing, and a primary DBMS platform from senior developers

Designs and implements smaller, well-scoped database solutions independently, selecting appropriate relational or NoSQL platforms (MySQL, PostgreSQL, MongoDB, DynamoDB) for the use case
Performs advanced performance tuning including indexing and query optimization, and manages database security configurations covering user authentication and access control
Leads troubleshooting efforts for complex performance and reliability issues, evaluating identifiable factors to isolate root cause
Designs table structures for applications with systems analysts using data modeling tools (Erwin, PowerDesigner, MySQL Workbench) and contributes significantly to backup and recovery strategies
Mentors junior team members, handles basic programming tasks (troubleshooting, code reviews, testing in Python/Java/C#), and coordinates database activities within project milestones

P4this profile

Architects complex database systems and establishes best practices for schema design, performance, and security across a functional area
Performs in-depth analysis of complex performance variables, selecting tuning methods and observability tooling (Prometheus, Grafana, Splunk Enterprise) to resolve systemic bottlenecks
Serves as technical lead for design, development, and maintenance, reviewing code before it moves to production and supporting ETL/integration design via web services and APIs (Informatica, Talend, Apache Spark)
Evaluates new database technologies and managed cloud platforms (Azure SQL, Cosmos DB, Snowflake, Redshift) for adoption, applying config-management automation (Ansible, Chef, Puppet, AWS CloudFormation) for reliable provisioning
Trains database developers in best practices, coding standards, and development, and leads major projects across cross-functional teams

Defines long-term data strategies and ensures the scalability and resilience of database infrastructure supporting company objectives
Acts independently on broad and special assignments, owning a significant system or critical database area and scaling clusters for distributed systems (Cassandra, DynamoDB, managed cloud equivalents)
Establishes enterprise best practices for backup/recovery, security, and reporting integration (SSRS, Power BI, Tableau) across teams
Serves as primary point of contact for high-level, high-risk technical database challenges and advises stakeholders on architectural direction
Builds influential networks across engineering and mentors senior and mid-level engineers on complex design and reliability problems

Sets engineering strategy for database systems across the company and makes strategic, high-impact, organization-wide decisions
Leads deep, complex, or high-risk technical projects with broad impact, ensuring reliability of distributed database clusters at scale
Meets with stakeholders to advise and negotiate, shaping the data persistence direction for the organization
Provides high-level mentorship to staff and principal engineers and influences peer professionals across teams
Manages technical projects spanning deadlines, budgets, and hiring/training, and supervises engineering teams on critical initiatives

Level guidelines

The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.

Level	Knowledge & Application	Complexity & Problem Solving	Collaboration & Interaction	Typical Degree & Years
P2	Applies developing knowledge of SQL, indexing, and a primary DBMS platform to assist with maintenance, monitoring, and simpler queries under supervision and detailed instruction.	Solves routine, well-defined database tasks in familiar contexts — pre-defined scripts, basic troubleshooting, backups — escalating anything beyond established procedure.	Builds productive working relationships with application developers and senior staff; learns through code reviews and documents objects and modules.	2+ years with a BA, or MS/PhD with no prior experience.
P3	Applies broad database engineering knowledge across multiple relational and NoSQL platforms and data modeling tools to design smaller solutions independently and tune and secure assigned systems.	Evaluates identifiable factors to lead troubleshooting of complex performance and reliability issues across diverse problems with day-to-day independence.	Networks with senior professionals and systems analysts on table structures; coordinates database activities and mentors junior staff.	5+ years (BA), 3 years (MA), or PhD without experience.
P4	Applies in-depth expertise to architect complex database systems, establish best practices, integrate ETL/observability tooling, and evaluate emerging cloud and NoSQL platforms with functional-area impact.	Performs in-depth analysis of complex, interdependent performance and reliability variables; selects methods and tooling to resolve systemic issues.	Coordinates across groups as technical lead, reviews production code, trains developers, and may influence technology decisions.	8+ years, often with graduate education.
P5	Applies expert, strategic knowledge of distributed database systems and long-term data strategy to broad and special assignments contributing to company objectives.	Resolves unprecedented scalability and resilience challenges with high independence, owning critical systems and clusters.	Builds influential networks, advises stakeholders on database architecture, and mentors senior engineers.	12+ years with extensive database engineering expertise.
P6	Applies principal, field-shaping expertise to set company-wide database engineering strategy and direct high-risk distributed-systems work.	Provides visionary problem-solving on organization-wide database architecture, reliability, and scale with full independence.	Advises and negotiates with stakeholders, mentors principal engineers, and supervises teams on critical initiatives.	15+ years as a principal database expert; often PhD plus industry leadership.

Skills

Focus-specific skills the role applies — the relevance layer beyond the occupational base.

SQL: Writes and optimizes Structured Query Language including query optimization, joins, and stored procedures as the foundational requirement for querying database systems.
Multiple DBMS platforms: Applies expertise across relational databases (MySQL, PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB) to select and operate the right engine for the workload.
Programming/scripting: Applies proficiency in Python, Java, or C#, plus Linux/UNIX fluency and shell scripting for database automation and tooling.
Performance tuning: Monitors database performance and implements indexing, query optimization, and tuning techniques to resolve bottlenecks.
Backup and recovery: Designs and implements backup and recovery strategies for data protection and validates restore procedures across environments.
Database security: Enforces encryption, user authentication, and access control to safeguard data.
ETL and integration: Designs and develops extract, transform, load workflows and data integration via web services and APIs using tools such as Informatica, Talend, and Apache Spark.
Cloud database services: Operates managed cloud database platforms such as Azure SQL, Cosmos DB, Snowflake, and Redshift.
Data modeling: Designs database structures using tools such as Erwin, PowerDesigner, and MySQL Workbench.
Monitoring/observability: Uses tools such as Prometheus, Grafana, and Splunk Enterprise to track and analyze performance metrics.
Leadership and communication: Applies critical thinking, judgment, listening, empathy, and communication to lead technical projects and mentor engineers (senior and above).

Provenance

The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).

Level differentiation5.0Focus specificity5.0Concreteness5.0Factual accuracy5.0Real-world coverage4.5

9 sources

Level — P4 — Senior Professional

Seasoned professional; handles complex tasks, may lead small teams or projects

Scope: A system or set of related features
Autonomy: Self-directed; reviewed at critical decision points
Complexity: Complex, ambiguous problems; devises new approaches
Impact: Multi-team / function outcomes
Decision rights: Owns technical decisions for a system; influences adjacent design
Leadership: Technical lead for focused efforts; mentors several
Typical experience: 5–8 yrs

Adjacent roles

Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →

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