Updated June 26, 2023
Introduction to Data Architect Jobs
Data architect is the primary design for data management systems from the ground up. Then the Architects will create a plan to integrate, concentrate, safeguard, and will preserve a company’s prospective data sources, which include both internal and external after examining with the employees and may confirm the data from the users, which is highly appreciated and most important information at the right time and in the right place it is the senior-level professionals. It is the high demand in large sectors because it is sophisticated computer skills for developing databases, collecting large data like big data, etc.
Top Data Architect Jobs
There is n number of jobs related to the data architect that will do separate roles and responsibilities for the person who has assigned and recruited the data architect role. Each multinational company has recruited these roles based on the experience and skill set of the person.
Each company has different roles, and the data architect is the main role for to play the user and data security.
Data Architect Role and Skills
The main focus for working in the data architect role is Salary and bonus packages that are competitive based on personal & company performance. Comprehensive health insurance, including vision, dental, and a flexible spending account (FSA) with attractive corporate match more days of paid vacation and paid holidays based on the company rule.
To develop, optimize, and manage logical and conceptual data systems which prepare architect reports, system monitoring, and system migration supervision. Also, include and interact with a diverse group of people, ranging from highly technical software developers to senior executives. It assumes responsibility for a complicated program’s overall architecture strategy/design and communicates it to all project team members. To analyze client operations, applications, and programming; examine objectives with stakeholders; and evaluate present systems to determine database structural requirements.
It has required more knowledge of database structure framework and data mining skills included for the role. Demonstrated ability to execute demanding technical projects and build high-level solution design and architecture, including class, sequence, and deployment infrastructure diagrams. Taking ownership is the main part of this role because of the technical solutions for projects in the presales phase and ongoing projects from a design and architecture standpoint.
Prior experience is more important for delivering applications using an onshore/offshore delivery approach. Experience gathering requirements from end-users and developing technical documentation that effectively meets deadlines based on time-to-market constraints, time management, and multitasking abilities are required. Main suggestions for creative solutions based on new technology and current trends should be made to the sales team. To Examine the architectural and technological solutions for ongoing projects, which is more important, and to ensure that the best option is chosen for this career. The Work Environment closely work with the sales team to gather the customer requirements, needs, and clients to gain a thorough understanding of their data and user operations to capture the security needs for identifying the pain points, and the result is stored at the present area of the optimal solution and business goals achievements. Sometimes the AWS S3 and ADLS for data storage and management systems create data transformation, data structures, metadata, dependency, and task management processes.
Database proficiency is more important, which includes the RDBMS, SQL contains more complex, PL/SQL, Shell Scripting in Unix, and performance tunning mainly include the database Query tuning and other troubleshoots. It provides more proactive and on-demand resolution for a wide range of complex data pipeline-related issues. It will be familiar with AWS or Azure containing Platform as a Service (PAAS). Some certification plays a role and are part of the Architect jobs, like Snowflake cloud data warehouse Architect which is more desirable and should be able to troubleshoot the problems across the infrastructure of other platforms, including the application domain. We use software frameworks and Agile development methodologies for tracking and securing data, including big data.
Data Architect Salary and Features
The average annual income for data architects is more the Data Engineers, on the other hand, which collaborate with data architects to create a workable framework for data search and retrieval that both scientists and analysts may use later in their work. Architects create a plan to integrate, concentrate, safeguard, and preserve a company’s prospective data sources after examining them. Employees may now get important information at the right time and place, so the situation time helps more when compared to the other roles. Depending on the educational path pursued, being a data architect takes roughly additional years
. The complete bachelor’s degree is a more IT-related field, including computer science, engineering, and information technology domains. Business skills are required for the data architects approaching high-level data difficulties with more focus on using the proper approach and methods for making the most time and other resources like HR department etc. Effective communication for listening to the data more carefully to handle the management, data analysts, and other relevant personnel to develop the optimal data design pattern. It effectively manages and counsels the team for the modeling data, data engineers, database administrators, and junior-level data architects. We utilize a thorough knowledge of the cloud, databases, apps, and programs to maximize the potential of these areas.
|Data Architect||Data Science|
|It is an IT specialist that can be used to build and manage the data systems for accessing the data storage with user policies.||It is an interdisciplinary field that uses scientific methods, procedures, algorithms, and other structured and unstructured data related to the application.|
|Statistics, applied mathematics, data migration, visualization, NoSQL databases, and cloud computing are the skills and examples of databases.||Modeling, Analytics, Machine Learning, data visualization programming, communication, and business purpose.|
|AWS, CCA, CCP, and DASCA are some data architect certifications.||SSA, CCA, MCSE, and SAS are some certifications in data science.|
|Data architects are typically senior-level specialists highly sought after by large corporations.||Data science is cleansing, aggregating, and modifying data for advanced analysis.|
|Data Architect often works more than hours a week.||Data scientists must work long hours regularly, especially when tackling complex problems.|
It has some types of jobs based on the company and technology domain used by the technical people.
1. Data Architect with AWS, Kafka
This type of role will require AWS knowledge, data architect experience with more than years( it may vary depending upon the user experience) of data architecture, data engineering experience, as well as excellent knowledge of Kafka and AWS. Necessary experience includes Python, Microservices, and Scripting, while Kubernetes is preferred but not required.
2. SAP Data Architect
This role requires much required of an SAP Data Architect ad knowledge of SAP and non- SAP Systems. It needs a good knowledge of MDM and MDG Methodologies and experience managing data migration projects in the SAP environment. Also, it required SAP Data Services and SAP Migration Cockpit.
3. Principal Data Architect
This role will need prior data architect experience, payment card security industry project experience, knowledge of SDLC, etc. Data Architect, which includes ServerLogic, REST APIs, Redshift, Lambda, Data Warehouse, ETL, and Kinesis: This role requires knowledge of servers, Rest APIs, Data warehouse, ETL, Kinesis, Lambda, and Redshift, etc. We required all the above skills along with years of experience.
4. Cloud Data Architect
It requires Challenging and prioritizing knowledge of client data requirements. Having worked in business intelligence design and predictive analytics and expertise in advanced data analysis techniques. To manage data sets and work with ETL and data warehouse solutions three major clouds AWS, Azure, and Google Cloud) require.
5. Big Data Architect
The big data architect requires conceptualizing, planning,ning, and Hadoop designing big data systems with design functional and technical architectures. To build setup and configure Hadoop cluster for providing manage access and install software configuration.
6. Senior and Junior Data Architect
It requires both senior and junior data architects. The senior data architect requires more than 5+ years of experience, but the junior architect requires more than a year. Other than that of experience partnering directly with CTO and CISO for creating data in the governance with frameworks that require a Master’s degree.
7. Data Architect with SQL knowledge
This role requires a data architect with prior knowledge of SQL databases, Like executing and developing the queries in the production environment. Tuning the queries for checking the DB health and monitoring the database performance.
8. IT Data Architect
It requires more than a year of data engineering and architecture experience. Strong knowledge of ETL and storage technologies. Like consuming the data technologies such as Tableau, Machine Learning, PowerBI, etc. This position needs Bachelor’s degree.
9. Enterprise Data Architect
This role mainly requires business perspectives and recommends learning new technology enhancements and migrations. To experience with leading and mentoring junior architects and the ability to lead the team.
The data architect will immerse themselves in the new big data world nowadays, which is the good part. It includes and covers the big data architect does to meet the demands of the entire part of the organization related to the IT department so large people share the locations.
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