Big Data Platform Engineer Job Description [Updated for 2025]

In today’s digital landscape, the role of Big Data Platform Engineers is increasingly critical.

As technology advances, the demand for skilled professionals who can build, scale and secure our big data infrastructures is on the rise.

But what really is the job of a Big Data Platform Engineer?

Whether you are:

• A job seeker looking to understand the crux of this position,
• A hiring manager outlining the perfect candidate,
• Or simply curious about the complexities of big data engineering,

You’ve come to the right place.

Today, we present a customizable Big Data Platform Engineer job description template, crafted for effortless posting on job boards or career sites.

Let’s dive right in.

Big Data Platform Engineer Duties and Responsibilities

Big Data Platform Engineers are responsible for developing, maintaining, and testing big data solutions.

They combine engineering and mathematical skills to manipulate large datasets, ensuring that the relevant information is accessible and usable.

The duties and responsibilities of a Big Data Platform Engineer include:

• Designing, constructing, installing, testing and maintaining highly scalable data management systems
• Ensuring systems meet business requirements and industry practices
• Integrating new data management technologies and software engineering tools into existing structures
• Creating custom software components and analytics applications
• Installing and updating disaster recovery procedures
• Researching new uses for data acquisition
• Implementing any necessary data transformation tasks
• Recommend ways to improve data reliability, efficiency, and quality
• Collaborating with data architects, modellers and IT team members on project goals
• Developing set processes for data mining, data modeling, and data production
• Employing a variety of languages and tools to marry systems together
• Performing periodic system audits and upgrades as necessary

 

Big Data Platform Engineer Job Description Template

Job Brief

We are seeking a skilled Big Data Platform Engineer to join our team.

The ideal candidate will have extensive experience designing and implementing large-scale data processing systems and should have excellent knowledge of big data architectures and software.

Your role will involve designing and maintaining robust big data solutions that meet the company’s needs and working closely with data analysts and data scientists to turn data into critical information and knowledge.

 

Responsibilities

• Design and build large-scale data processing systems
• Install and configure big data platforms
• Ensure systems meet business requirements and industry practices
• Research opportunities for data acquisition and new use cases for data analysis
• Develop data set processes for data modeling, mining, and production
• Integrate new data management technologies and software engineering tools into existing structures
• Create custom software components and analytics applications
• Collaborate with data scientists and architects on several projects
• Maintain security and data privacy across all big data infrastructures
• Ensure system compliance with company policies and procedures

 

Qualifications

• Proven work experience as a Big Data Engineer or similar role
• Experience in designing and implementing big data solutions
• Familiarity with big data tools and frameworks, such as Hadoop, Spark, Kafka, etc.
• Experience with building data pipelines, architectures, and data sets
• Ability to write robust code in Java, Python, or other languages
• Strong problem-solving skills and analytical mindset
• Proficiency in Linux/Unix systems
• BSc degree in Computer Science, Engineering or relevant field; Master’s degree is a plus

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Big Data Platform Engineer
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Data Engineering Manager or Lead Data Engineer.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $120,000 minimum to $180,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Big Data Platform Engineer Do?

Big Data Platform Engineers typically work for various types of organizations across a wide range of industries, as well as in specialized IT firms and data consultancy agencies.

Their primary role is to design, build, and manage the large and complex databases that store and process big data.

They work with a range of big data technologies and tools, such as Hadoop, Spark, and NoSQL databases, to create scalable and reliable data platforms.

They work in close collaboration with data scientists and analysts to understand their data requirements and ensure that the data platform can support these needs effectively.

They also work with other software engineers to integrate the data platform with other systems.

Their responsibilities also include managing and optimizing the performance of the data platform, ensuring data accuracy and consistency, and implementing robust data security measures.

Furthermore, they are often involved in evaluating and selecting big data technologies, tools, and architectures.

They also play a key role in troubleshooting and resolving any issues related to the data platform.

Big Data Platform Engineers are also responsible for staying up-to-date with the latest developments in big data technologies and best practices, and they often have to adapt and innovate as the field evolves rapidly.

 

Big Data Platform Engineer Qualifications and Skills

A Big Data Platform Engineer should possess a combination of technical skills, analytical abilities and industry knowledge to efficiently manage and manipulate large data sets, as outlined below:

• Strong programming skills in languages like Java, Python, and Scala to handle data extraction, transformation, and loading.
• Extensive knowledge of Big Data frameworks such as Hadoop and Spark for processing large datasets in distributed computing environments.
• Experience with NoSQL databases like MongoDB, HBase, or Cassandra to store and retrieve unstructured data at high speed.
• Proficiency in SQL for managing and querying databases, as well as data visualization tools like Tableau or PowerBI to present data insights.
• Understanding of machine learning algorithms and statistical models to glean insights from big data.
• Excellent problem-solving skills to troubleshoot data-related issues and ensure the integrity and reliability of data solutions.
• Ability to work collaboratively with data scientists, business analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.
• Good communication skills to translate complex data-related concepts into understandable terms for non-technical team members.
• Attention to detail and organizational skills to manage large datasets and multiple projects simultaneously.

 

Big Data Platform Engineer Experience Requirements

Entry-level Big Data Platform Engineers typically require 1 to 2 years of experience, which can be obtained through internships or part-time roles in big data analytics or related fields.

They might also gain experience through roles such as Data Analyst, Software Developer, or Database Administrator.

Candidates with 2 to 4 years of experience are often expected to have developed their technical skills in handling big data tools like Hadoop, Spark, or Hive, in addition to gaining significant exposure to Machine Learning and Data Mining techniques.

Professionals with more than 5 years of experience are likely to have developed advanced skills in designing, building, and maintaining big data platforms.

They may have also gained experience in leading projects and managing teams.

Those aspiring to senior roles should have a solid background in cloud computing and be proficient in using platforms like AWS, Google Cloud, or Microsoft Azure.

They should also have a deep understanding of data architecture and processing, and be able to implement advanced data analytics solutions.

Furthermore, senior roles often require a proven track record in problem-solving and strategic planning, along with the ability to guide and mentor junior engineers.

In general, these professionals need to continually update their skills to keep up with the rapid advancements in the field of big data.

 

Big Data Platform Engineer Education and Training Requirements

Big Data Platform Engineers typically need to possess a bachelor’s degree in computer science, information systems, data science, or another related field.

In addition, they require extensive knowledge in technologies related to big data such as Hadoop, Spark, and Hive, along with database systems like MySQL, Oracle, or NoSQL.

It is also necessary to have a strong proficiency in programming languages, such as Java, Python, or Scala.

Understanding of machine learning algorithms and statistical analysis methods is often preferred.

While not always required, a master’s degree in data science or related field can provide candidates with an advanced understanding of data technologies and techniques.

This higher level of education can be particularly beneficial for complex or specialized roles.

Moreover, some Big Data Platform Engineers acquire industry-recognized certifications such as the Hortonworks Hadoop Certification, Cloudera Certified Data Engineer, or the AWS Certified Big Data Specialty.

These certifications could improve career prospects by demonstrating an engineer’s technical skills, commitment to the field, and willingness to stay updated with evolving technologies.

 

Big Data Platform Engineer Salary Expectations

A Big Data Platform Engineer earns an average salary of $112,387 (USD) per year.

However, this salary can vary depending on factors such as years of experience, specific skills, and the location of the job.

 

Big Data Platform Engineer Job Description FAQs

What skills does a Big Data Platform Engineer need?

A Big Data Platform Engineer should possess strong analytical and problem-solving skills to handle large data sets.

They should be proficient in big data languages and tools like Hadoop, Spark, Scala, and SQL.

Knowledge of data warehousing, ETL tools, and data modeling are also important.

They need to have a solid understanding of cloud platforms like AWS or Google Cloud and should be familiar with machine learning algorithms.

 

Do Big Data Platform Engineers need a degree?

Most Big Data Platform Engineers have a bachelor’s degree in computer science, information technology, data science or a related field.

Some roles may require a master’s degree or special certifications, especially for more senior positions.

Work experience in big data engineering or a related field is also highly valued.

 

What should you look for in a Big Data Platform Engineer resume?

In a Big Data Platform Engineer resume, look for a degree in a related field, and experience with big data technologies such as Hadoop, Spark, and others.

Experience with cloud platforms like AWS or Google Cloud is a plus.

Certifications relevant to big data can also be beneficial.

Check for demonstrated problem-solving skills and ability to work on large data sets.

 

What qualities make a good Big Data Platform Engineer?

A good Big Data Platform Engineer is analytical, detail-oriented, and has a solid understanding of data structures and algorithms.

They are curious and always ready to learn new technologies and methodologies to improve their data handling and analysis skills.

They have excellent communication skills, enabling them to explain complex data to non-technical stakeholders.

 

Is it difficult to hire Big Data Platform Engineers?

Finding qualified Big Data Platform Engineers can be challenging due to the specific skill set required and the increasing demand for professionals in this field.

Companies often need to offer competitive salaries and benefits, along with opportunities for professional development and learning, to attract top talent.

 

Conclusion

So there you have it.

Today, we’ve illuminated the dynamic and complex role of a Big Data Platform Engineer.

Surprise!

It’s not just about managing colossal data sets.

It’s about molding the data-driven future, one data point at a time.

Armed with our comprehensive Big Data Platform Engineer job description template and real-world examples, you’re ready to take the leap.

But why stop there?

Dig deeper with our job description generator. It’s your go-to tool for creating precision-detailed job listings or fine-tuning your resume to perfection.

Remember:

Every data point paints a part of the bigger picture.

Let’s construct that future. Together.

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