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  1. Job Roles
  2. >
  3. Database Architects

Database Architects

What does a professional in this career do?

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.

In this job you will...

  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
  • Develop data models for applications, metadata tables, views or related database structures.
  • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
  • Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
  • Create and enforce database development standards.
  • Document and communicate database schemas, using accepted notations.
  • Develop data model describing data elements and their use, following procedures and using pen, template or computer software.
  • Work as part of a project team to coordinate database development and determine project scope and limitations.
  • Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management.
  • Set up database clusters, backup, or recovery processes.
  • Demonstrate database technical functionality, such as performance, security and reliability.
  • Develop load-balancing processes to eliminate down time for backup processes.
  • Plan and install upgrades of database management system software to enhance database performance.
  • Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
  • Test programs or databases, correct errors, and make necessary modifications.
  • Identify and correct deviations from database development standards.
  • Review project requests describing database user needs to estimate time and cost required to accomplish project.
  • Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions.
  • Develop or maintain archived procedures, procedural codes, or queries for applications.
  • Provide technical support to junior staff or clients.
  • Establish and calculate optimum values for database parameters, using manuals and calculators.
  • Train users and answer questions.

Skills You Will Gain

Data Backup and Recovery
Data Modeling and Mapping
Data Security and Access Controls
Database Design and Architecture
Database Performance Optimization

Representative Journeys

Become a Data Scientist
Become a Data ScientistPraba Santhanakrishnan, Pramod Gupta, Matt Harrison | Data Science | 30 hrs and 30 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
introduction-to-data-analysis-using-r
Introduction to Data Analysis using R
Pramod GuptaSkills: Data AnalysisRR Studio
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas

Journey Completed

Big Data Fundamentals
Big Data FundamentalsPraba Santhanakrishnan, Mark Kerzner, Rod Davison | Data Science | 11 hrs and 55 mins

Launch Journey

big-data-services-on-microsoft-azure
Big Data Services on Microsoft Azure
Praba SanthanakrishnanSkills: Azure Data FactoryAzure HDInsight clusterData WarehouseDatalake
spark-and-elasticsearch-for-big-data-analytics
Spark and Elasticsearch for Big Data Analytics
Mark KerznerSkills: Data ScienceElasticsearchReal-time indexingSearch and Data-AnalysisSpark
big-data-hadoop-and-spark-developer-in-amazon-elastic-mapreduce
Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce
Rod DavisonSkills: Amazon Elastic MapReduce (EMR)Big DataData ScienceHandoopSpark Developer
understanding-and-applying-key-tools-for-big-data-analytics
Understanding and Applying the Key Tools for Big Data Analytics
Mark KerznerSkills: Big Data analytics toolsCloud-based analyticHive

Journey Completed

Related roles

Data Scientists

Data Scientists

Data Warehousing Specialists

Data Warehousing Specialists

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Information Security Engineers

Information Security Engineers

  • ADP Planner (Automatic Data Processing Planner)
  • Big Data Architect
  • Big Data Engineer
  • Cloud Architect
  • Cloud Infrastructure Architect
  • Computer Architect
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Data Governance Analyst
  • Data Integration Specialist
  • Data Management IT Specialist (Data Management Information Technology Specialist)
  • Data Manager
  • Data Miner
  • Data Modeler
  • Data Modeling Specialist
  • Data Officer
  • Data Privacy Officer
  • Data Recovery Planner
  • Data Storage Specialist
  • Data Warehouse Architect
  • Data Warehouse Programmer
  • Data Warehousing Engineer
  • Database Analyst
  • Database Architect
  • Database Computer Consultant
  • Database Consultant
  • Database Design Analyst
  • Database Designer
  • Database Developer
  • Database Engineer
  • Database Manager
  • Database Modeler
  • Database Programmer
  • Database Software Consultant
  • Database Software Tech (Database Software Technician)
  • Database Specialist
  • DBMS Specialist (Database Management System Specialist)
  • Developer
  • Enterprise Architect
  • Enterprise Data Architect
  • Information Architect
  • Information Engineer
  • Infrastructure Architect
  • Internet Database Specialist
  • Knowledge Architect
  • Public Key Infrastructure Analyst (PKI Analyst)
  • Server Developer
  • Solutions Architect

SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Big Data Services on Microsoft Azure

Big Data Services on Microsoft Azure

Introduction to Python for Data Science

Introduction to Python for Data Science

Introduction to Data Analysis using R

Introduction to Data Analysis using R

Spark and Elasticsearch for Big Data Analytics

Spark and Elasticsearch for Big Data Analytics

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Getting Started with Pandas

Getting Started with Pandas

Understanding and Applying the Key Tools for Big Data Analytics

Understanding and Applying the Key Tools for Big Data Analytics