Data Platform Engineer Job Description [Updated for 2025]

In the era of big data, the demand for data platform engineers has never been higher.

As technology continues to advance, the need for skilled professionals who can design, construct, and maintain our data platforms becomes increasingly essential.

But let’s delve deeper: What does a data platform engineer really do?

Whether you are:

• A job seeker striving to understand the scope of this role,
• A hiring manager conceptualizing the perfect candidate,
• Or simply fascinated by the intricacies of data platform engineering,

You’ve arrived at the right place.

Today, we present a customizable data platform engineer job description template, crafted for seamless posting on job boards or career websites.

Let’s dive right in.

Data Platform Engineer Duties and Responsibilities

Data Platform Engineers are key to data management and organization in a company.

They manage and maintain databases and ensure that the data is available for use by data scientists, analysts, and other stakeholders.

Data Platform Engineers have the following duties and responsibilities:

• Design, construct, install, test and maintain highly scalable data management systems
• Ensure systems meet business requirements and industry practices
• Integrate up-and-coming data management and software engineering technologies into existing data structures
• Develop set processes for data mining, data modeling, and data production
• Collaborate with data scientists and architects on several projects
• Create custom software components and analytics applications
• Research opportunities for data acquisition and new uses for existing data
• Implement data flow solutions for real-time streaming that involve non-relational databases
• Monitor system performance and identify any issues or failures
• Develop best practices for data coding to ensure efficiency and quality
• Ensure data platform architecture is consistently updated to meet changing company needs

 

Data Platform Engineer Job Description Template

Job Brief

We are seeking a dedicated Data Platform Engineer to design, develop, and maintain our data platform.

The responsibilities of a Data Platform Engineer include creating and implementing data models, maintaining data architecture standards, and collaborating with the data science team to understand and implement complex business solutions.

Our ideal candidate has experience with cloud-based data platforms, understands the lifecycle of data in complex systems, and is familiar with data extraction, transformation, and load (ETL) processes.

Ultimately, the role of the Data Platform Engineer is to manage and optimize our data platform to ensure the delivery of high-quality data solutions.

 

Responsibilities

• Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, and conceptual models.
• Align data architecture with business requirements.
• Develop set processes for data mining, data modeling, and data production.
• Research new uses for data acquisition.
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with data architects and IT team members on project goals.
• Employ a variety of languages and tools to marry data systems together.
• Recommend different ways to constantly improve data reliability and quality.

 

Qualifications

• Proven work experience as a Data Engineer, Database Developer or similar role.
• Experience with cloud services (AWS, Microsoft Azure etc.), big data tools (Hadoop, Hive etc.), and framework systems (Java, Scala etc.)
• Hands-on experience with SQL database design.
• Great numerical and analytical skills.
• Experience with machine learning tools and statistical analysis models.
• Great organizational and communication skills.
• BSc degree in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

 

Benefits

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

 

Additional Information

• Job Title: 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 Lead Data Engineer or Data Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $125,000 minimum to $190,000 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 Data Platform Engineer Do?

Data Platform Engineers work for a variety of industries, typically in tech or data-focused companies, where they design, build, and maintain data management systems.

Their role includes designing and implementing databases, data processing, and analytics tools.

They work with various data technologies such as SQL, NoSQL, data warehousing solutions, and big data processing frameworks.

A Data Platform Engineer is responsible for ensuring that data is stored securely and is easily accessible for data scientists and analysts.

They work closely with data architects to design systems that meet the needs of the company, and with data governance teams to ensure data privacy and compliance standards are met.

They are also involved in optimizing data retrieval and developing data set processes for data modeling, mining, and production.

Additionally, they recommend ways to improve data reliability, efficiency, and quality.

Regular monitoring, troubleshooting, and enhancing system performance are also part of their duties.

They might be asked to develop and implement disaster recovery plans, or make provisions for data backup.

Moreover, a Data Platform Engineer often collaborates with other departments to understand their data needs and ensure the data platform is supporting these requirements effectively.

 

Data Platform Engineer Qualifications and Skills

Data Platform Engineers use a mix of technical skills, analytical skills, and industry knowledge to manage and optimize data platforms, such as:

• Proficiency in database management systems (DBMS) such as SQL Server, Oracle, MySQL or similar technologies to store, manage, and retrieve data.
• Experience with big data tools and frameworks such as Hadoop, Spark, Kafka and understanding of distributed systems principles.
• Strong analytical and problem-solving skills to troubleshoot and optimize data systems and ensure their smooth operation.
• Excellent programming skills in languages such as Python, Java or Scala for data processing tasks.
• Experience with cloud platforms like AWS, GCP or Azure and familiarity with services related to data and analytics.
• Strong knowledge of data architecture, data modeling, and data warehousing concepts.
• Excellent communication skills to interact with various stakeholders, understand their data needs and translate them into technical requirements.
• Familiarity with data visualization tools such as PowerBI, Tableau for presenting data in a clear and concise manner.
• Ability to work in a team environment, collaborating with data scientists, data analysts, and other data engineers.
• Understanding of data privacy regulations and best practices for data security.

 

Data Platform Engineer Experience Requirements

To become a Data Platform Engineer, individuals typically need to have a minimum of 2-3 years of relevant work experience in the field of data management, analytics, or a similar field.

In these roles, they have likely gained valuable experience in working with large data sets, using data platform technologies and tools, and solving complex technical issues.

Entry-level candidates can gain experience through internships or part-time roles where they learn how to manage databases, develop data models, and work with various data processing tools and software.

After about 3-5 years of experience in a related role such as Data Analyst, Database Administrator, or Data Engineer, professionals are usually equipped with the technical skills and knowledge to take on more responsibilities as a Data Platform Engineer.

They are expected to have hands-on experience with data warehouse solutions, ETL tools, SQL queries, and programming languages such as Python or Java.

In addition, individuals with more than 5 years of experience in the field may have advanced to leadership roles, overseeing data management strategies, or leading a team of data engineers.

Such professionals are often considered for senior-level Data Platform Engineer positions, where they are expected to provide strategic insight and guidance on data platform development and management.

 

Data Platform Engineer Education and Training Requirements

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

This role requires a strong foundation in database systems, data warehousing, and data processing.

Familiarity with SQL, NoSQL, and other database languages is crucial.

Knowledge of Big Data platforms like Hadoop, Spark, and others is often required.

Some positions, especially those involving strategic decision-making or complex data operations, may require Data Platform Engineers to hold a master’s degree in data science or a related discipline.

Advanced coursework in data structures, algorithms, and machine learning can be beneficial.

In addition to formal education, these professionals often need to earn certifications in relevant technologies and platforms such as Microsoft Certified: Azure Data Engineer Associate, Google Certified Professional Data Engineer, or AWS Certified Big Data.

Pursuing advanced degrees or certifications can showcase an individual’s dedication to continuous learning and professional growth, potentially opening up more advanced career opportunities.

 

Data Platform Engineer Salary Expectations

A Data Platform Engineer can expect to earn an average salary of $112,785 (USD) per year.

The actual earnings may fluctuate based on factors such as experience, certifications, the complexity of the projects handled, and the location of the job.

 

Data Platform Engineer Job Description FAQs

What skills does a Data Platform Engineer need?

Data Platform Engineers should have a strong background in software engineering along with knowledge of database structures, theories, principles, and practices.

They should have hands-on experience with data architecting, data mining, large-scale data processing, and with programming languages like SQL, Oracle, and Python.

Analytical and problem-solving abilities are key, as well as strong communication skills to effectively collaborate with others.

 

Do Data Platform Engineers need a degree?

Most Data Platform Engineers hold a degree in Computer Science, Information Systems, or a related field.

While not always required, a Master’s degree or specialized training in data management can be beneficial.

Relevant work experience is often highly valued as well.

 

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

Look for a strong educational background in relevant fields and extensive experience in data management.

Proficiency in programming languages like SQL and Python, experience with cloud services, and familiarity with Big Data tools like Hadoop, Spark, and Kafka are also significant.

Certification in data platforms like Microsoft Azure or Google Cloud Platform can be a major plus.

 

What qualities make a good Data Platform Engineer?

A good Data Platform Engineer should be detail-oriented and highly analytical, with a knack for understanding and solving complex systems and data structures.

They should have excellent problem-solving skills and be able to work collaboratively with other team members.

Staying up-to-date with the latest industry trends and technologies is also crucial.

 

Is it difficult to hire Data Platform Engineers?

Given the specialized skills required and the increasing demand for this role in various industries, hiring Data Platform Engineers can be challenging.

It’s important to offer competitive salaries, opportunities for professional development, and challenging projects that allow engineers to work with the latest technologies.

 

Conclusion

And there we have it.

Today, we have demystified the true essence of being a data platform engineer.

Surprised?

It’s not just about managing data.

It’s about carving the path to an intelligent future, one byte of data at a time.

Armed with our comprehensive data platform engineer job description template and real-world examples, you’re ready to stride forward.

But don’t just stop here.

Immerse yourself further with our job description generator. It’s your stepping stone towards crafting precise job listings or perfecting your resume.

Keep in mind:

Every byte of data is a piece of a larger puzzle.

Let’s construct that future. Together.

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