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Data Analyst Corner

Data Science Corner

Data Management Corner

33 role guidesFrom first task to confident practiceConnected across the data lifecycle

Find your people. Find your path.

Every role has a way forward.

Explore the full directory, from engineering and analytics to governance, operations, leadership, and data enablement.

33 / 33 role guides

Data Engineer

Owns source connections, pipelines, transformations, contracts, backfills, and release evidence for reliable data products.

Data Modeler

Owns conceptual, logical, and physical models; naming standards, schema contracts, semantics, lineage, and change impact.

Analytics Engineer

Turns governed warehouse data into tested semantic models, reusable metrics, and certified analytical products.

Data Analyst

Answers business questions with governed queries, visualizations, decision narratives, and recurring briefings.

BI Developer

Builds production dashboards, reusable visual components, embedded analytics, and governed reporting releases.

Data Scientist & Actuary

Develops statistical, predictive, and actuarial models from governed data with reproducibility and independent review.

ML Engineer

Builds features, trains and registers model versions, validates candidates, and prepares reliable serving handoffs.

MLOps Engineer

Owns model promotion, canaries, serving reliability, drift response, rollback, and production lifecycle evidence.

AI Engineer

Builds governed retrieval, agents, tools, and automations with evaluation, permissions, and human approval boundaries.

AI Platform Engineer

Operates model providers, routing, capacity, tenancy, security, usage, cost, and reliability for shared AI services.

Prompt Engineer

Authors versioned prompts, evaluation sets, release candidates, guardrails, and monitored prompt behavior.

Data Warehouse Operator

Coordinates live compute and warehouse provisioning, workload health, scaling, performance, cost, incidents, and recovery.

Data Platform Engineer

Owns shared data services, storage, compute, CDC, registries, runtime health, capacity, and tenant foundations.

DevOps & DataOps Engineer

Automates build, release, environments, infrastructure policy, secrets, deployment evidence, and recovery paths.

Site Reliability Engineer

Defines service objectives, monitors production, manages on-call response, coordinates incidents, and drives post-incident improvement.

Data Quality Engineer

Designs quality expectations, schema and drift gates, quarantine policy, monitoring, and evidence for trusted releases.

Performance Engineer

Finds workload outliers, tunes query and compute behavior, attributes cost, validates improvements, and protects service objectives.

Migration Engineer

Inventories source estates, maps compatibility, sequences migration, validates behavior, and controls cutover and rollback.

Architecture & Integration

Solutions Architect

Translates customer outcomes into an implementable architecture, source plan, governance model, delivery sequence, and proof path.

Architecture & Integration

Cloud Data Architect

Designs cloud topology, identity, networking, encryption, residency, capacity, and operational boundaries for data workloads.

Architecture & Integration

DataLake Architect

Defines storage layout, table and lifecycle patterns, interoperability, recovery, governance, and lakehouse evolution.

Data Governance Lead

Sets ownership, policy, approval, certification, exception, audit, and assurance practices across the data estate.

Data Steward

Maintains classification, glossary, ownership, access reviews, quality context, certification, and day-to-day catalog trust.

Data Governance & Security

Controls sensitive-data access, privacy, policy enforcement, secrets, threat response, compliance evidence, and audit integrity.

Data Leader & Chief Data Officer

Runs the portfolio by exception across outcomes, risk, cost, adoption, accountable decisions, controlled actions, and follow-through.

Workspace Administrator

Administers tenants, users, roles, licensing, configuration, integrations, access, audit, and platform readiness.

Data & AI Product Manager

Connects roadmap, adoption, service quality, cost, stakeholder needs, value evidence, and portfolio priorities.

Technical Trainer

Builds role-based curricula, guided sandboxes, readiness checks, operating playbooks, and measurable enablement programs.

Data Management Leader

Bring ownership, standards, quality, and lifecycle decisions into one coordinated data management practice.

Business Analyst

Turn business questions into agreed definitions, useful analysis, and decisions that teams can act on.

Privacy & Compliance Officer

Connect sensitive data, access decisions, and review evidence to the business purpose they serve.

Data Enablement Lead

Help people find trusted data, learn the right workflows, and become confident platform users.

Database Administrator

Keep operational databases reliable, accessible to the right workloads, and ready for controlled change and recovery.