This article is mainly focused on the position of Data Architect at Samsung R&D. We will discuss the process, the skill sets, and the roadmap that will help you grab this dream job. We have also included some resources that will help you in your journey.
So, let us get started:
About Samsung
Since its founding, Samsung Engineering has expanded, becoming a well-known brand in the EPC industry from a small domestic engineering firm. The business portfolio of Samsung Engineering now includes a wide range of engineering services, including power plants, water, and waste treatment facilities, upstream and downstream hydrocarbon facilities, and industrial production facilities.
This was made possible by Samsung Engineering's ability to recruit people from throughout the globe.
Samsung Engineering can offer considerable, dependable value to our clients by fusing creative, cost-effective engineering with adaptable, effective management.
Samsung Engineering is well-positioned to serve both established and developing global sectors.
An expert who develops the organizational data strategy, together with standards for data quality, data movement within the company, and data security, is known as a data architect.
This data management specialist's vision transforms corporate requirements into technical requirements.
An integrated framework of readily available, secure data that is in line with business strategy is built using a data architect's understanding of the needs of the business, analysis of the existing data structure, and creation of a blueprint. The procedures involved in testing and maintaining the database are also specified by the data architect.
Roles and Responsibilities
Now, let’s move on to the roles and responsibilities of a Data Architect:
Define the technical and business requirements for data architecture.
Design architecture that uses data from various sources.
Design and maintain data storage solution.
Define a reliable and scalable data pipeline.
Optimize existing data architectures and recommend efficiencies in data storage, retrieval, and processing.
Create data warehouse or pipeline designs based on data sources and the business needs of the organization.
Analyze the tradeoff of Machine learning techniques in commercial deployments in terms of computing and memory.
Incorporate Security & Privacy Technologies in Data pipelines as required by Data and Privacy Regulations.
Design and transform data into other formats as per needs.
After roles and responsibilities, let’s see the skills and experience required:
Skills and Experience
Bachelor’s or Master’s degree (Computer Science or Related) with 8+ years of relevant experience.
Hands-on Python or Scala Programming, Large scale Data Processing using Spark, Working on AWS Infrastructure.
8+ years of experience in defining and implementing data strategies.
5+ years of experience integrating data in batch and near real-time.
5+ years of experience with big data and a deep understanding of associated. technologies such as Redshift, Casandra, Hadoop, Spark, HBase, Hive, Solr, Flink, and Kafka.
Experience with Data Mining, Machine Learning, and Predictive Analytics.
Experienced Data Architect or Solution Architect with considerable exposure to data-led environments.
Specific experience defining Data Architecture, including future/target architectures.
Knowledge of Data Analytics offerings from AWS, GCP, or Azure.
Establishing and embedding data management and governance processes.
Experience working within agile-led environments.
Preparation Strategy
Get a Bachelors's or Masters's degree in Computer Science or any other related field.
Pick a programming language like Python or Scala and start learning data processing.
For this role, one of the most important things is experience.
With all these, try to learn about Cloud Platforms like AWS, GCP, or Azure.
Salary
Are you wondering how much a Data Architect at Samsung makes?🤔 Here is the answer…
An engineer’s income varies depending on various criteria, including their job role and position.
The salary of a Data Architect starts from ₹3 Lakhs to ₹6 Lakhs, which would make the average base salary be:
( The figures presented above are subject to change by Samsung )
Let’s check out the resources that will help you in your journey.
Free Resources
Database Management System - Check out these articles to learn more about the Database Management System.
Python - Check out these articles to learn more about the python programming language.
Cloud Computing - Check out these articles to learn more about cloud computing.
Data Structure and Algorithms - Enrol in this data structure and algorithms guided path to learn data structures like Hash Tables, Trees, Tries, Graphs, and various algorithms.
Competitive Programming - Enrol in this Competitive programming-guided path to master your problem-solving skills and ace any tech giant Interview.
DBMS - This guided path is made to prepare you for acing any DBMS Interview.
Operating System - Enrol in this Operating System guided path to learn the core concepts of OS. We’ve also covered the questions which are frequently being asked in Top-Tech companies.
The list is not over yet, you can check more free paths through this link. So, what are you waiting for?
Still nervous about the preparations? No issues. Practice makes the man perfect and confident! So why don’t you practice and gain some confidence? Check out this link for Samsung Interview Experience.😉👍.
In the end, it's always you vs you!
Link to Apply
You can apply for this job via Samsung Career portal using this link.
Frequently Asked Questions
What does a senior data architect do?
The strategic design of data architecture systems is the responsibility of senior data architects. They are responsible for managing automated data flow, developing ETL solutions, and optimizing databases.
Is a data architect a good job?
Data architects are professionals that are generally at the senior level. They are valued highly in big companies. Their role is to use sophisticated computer design skills to develop databases for organizations, allowing for the collection and analysis of big data.
Is the data architect the same as Data Engineer?
The terms "data architect" and "data engineer" are commonly confused since they are pretty similar. The fundamental duties of both roles are what set them apart from one another. The data engineer is in charge of developing the vision, while data architects build that vision and plan the organization's data infrastructure.
What is a good data architect?
Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential. A fully functional data architect understands all the phases of Data Modeling, including conceptualization and database optimization.
Is data architect in demand?
Data architects play one of the most essential and promising roles in the field of data science. The need for data architects is anticipated to increase by 9% between 2018 and 2028, which is actually faster than the average for all other jobs.
Conclusion
In this article, we have thoroughly discussed the Data Architect Role at Samsung. We hope that this article has helped you enhance your knowledge regarding the Data Architect role and its interview preparation as well as the process.
To know more about the Jobs in Samsung, the way to get into Samsung, or different profiles, you can check out these articles:
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