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Data Analytics Platform Engineer Jobs in Raleigh, NC

Data Platform Engineer

Durham, NC · On-site

$37.50 - $56.49/hr

Serve as Tier 2 escalation for pipeline failures and root cause analysis. * Support CI/CD ... Exposure to DataOps, DevOps, data observability, or monitoring platforms. * Experience working ...

Data Platform Engineer

Durham, NC · On-site

$110K - $132K/yr

Serve as Tier 2 escalation for pipeline failures and root cause analysis. * Support CI/CD ... Exposure to DataOps, DevOps, data observability, or monitoring platforms. * Experience working ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

About the Job- We are looking for an experienced Senior Data Platform Engineer to join one of our ... Data modeling, analytics, and metric design * Experience with modern Data Lakehouse technologies

DevX/Platform Engineer

Raleigh, NC · On-site

$125 - $150/hr

The firm provides business process management, automation, and analytics services to a number of ... We are also committed to protecting and safeguarding your personal data. Please find our policy ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics platform. The ideal candidate has a solid foundation in data engineering and enjoys ... working across multiple technologies to build scalable, reliable data solutions. This individual ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics platform. The ideal candidate has a solid foundation in data engineering and enjoys ... working across multiple technologies to build scalable, reliable data solutions. This individual ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics platform. The ideal candidate has a solid foundation in data engineering and enjoys ... working across multiple technologies to build scalable, reliable data solutions. This individual ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics platform. The ideal candidate has a solid foundation in data engineering and enjoys ... working across multiple technologies to build scalable, reliable data solutions. This individual ...

Data Engineer

Durham, NC · Remote

$150K/yr

Data lakes Data pipelines Data integration Analytics platforms Data architecture The ideal candidate has evolved through a career path such as: Software EngineerData Engineer → AI Platform ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

... analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

... analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring ...

Senior IT Data Analyst

Durham, NC

$83K - $104K/yr

... enterprise analytics platform. You will collaborate across the entire data lifecycle-identifying and defining data requirements, assisting in data model design, and delivering high-value data ...

Senior IT Data Analyst

Durham, NC · On-site

$83K - $104K/yr

... enterprise analytics platform. You will collaborate across the entire data lifecycle-identifying and defining data requirements, assisting in data model design, and delivering high-value data ...

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Showing results 1-20

Data Analytics Platform Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data analytics platform engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analytics platform engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

What are the key skills and qualifications needed to thrive as a data analytics platform engineer?

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

Data Platform Engineer

Durham, NC • On-site

Banc of California
Commercial Banking • 501 - 1,000 employees

$37.50 - $56.49/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Key responsibilities

  • Build, operate, and enhance the bank's cloud-based data platform using Microsoft Azure, Snowflake, and dbt.

  • Develop and optimize data ingestion pipelines from source systems to the Snowflake Raw layer, including onboarding new sources and ensuring data quality.

  • Support automation, monitoring, and operational processes such as CI/CD deployments, platform resilience, and root cause analysis for pipeline failures.


Banc Of California rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

54th of 176 rated banks


Job description

BANC OF CALIFORNIA AND YOUR CAREER
Banc of California, Inc. (NYSE: BANC) is a bank holding company with over $34 billion in assets and the parent company of Banc of California. Banc of California is one of the nation's premier relationship-based business banks, providing banking and treasury management services to small, middle market, and venture backed businesses. As the largest independent bank headquartered in California, the bank offers a broad range of loan and deposit products and services through a network of full-service branches and regional offices, as well as through digital and nationwide capabilities. The bank also provides full-service payment processing solutions to its clients and serves the Community Association Management industry nationwide through its technology forward platform, SmartStreet™. Banc of California is committed to supporting its local communities through the Banc of California Charitable Foundation and by partnering with organizations that promote financial literacy, job training, small business support, affordable housing, and more.
At Banc of California, our success is powered by our people and a shared commitment to delivering meaningful results. We foster an environment where entrepreneurial thinking is encouraged, and accountability and operational excellence are expected. Our team members are empowered to take ownership, make informed decisions, and make a meaningful impact as the bank continues to grow and evolve. We are dedicated to supporting your growth and wellbeing through comprehensive benefits, robust development opportunities, and inclusive programs that enable you to perform at your best. Together we win!
THE OPPORTUNITY
The Data Platform Engineer will help build, operate, and continuously enhance the bank's modern cloud-based data platform. Working closely with the AVP of Platform Engineering, this role supports the enterprise data ecosystem by developing and maintaining scalable, secure, and reliable data solutions using Microsoft Azure, Snowflake, and dbt. The position will help build the data ingestion layer that lands source-system data into the Snowflake Raw layer, optimize platform performance, implement CI/CD and DataOps practices, support the broader ecosystem of enterprise data tools, and enable trusted, high-quality data for enterprise reporting, analytics, and AI initiatives.
This position offers an excellent opportunity to work with modern cloud technologies while collaborating with Data Engineering, Architecture, Business Intelligence, and business stakeholders to advance Banc of California's enterprise data strategy. The ideal candidate is passionate about cloud technologies, automation, and data engineering best practices. Performs all duties in accordance with the Company's policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates.
HOW YOU'LL MAKE A DIFFERENCE
Cloud Data Platform & Ingestion
  • Support the enterprise cloud data platform built on Microsoft Azure (ADF, Synapse, ADLS), Snowflake, and dbt.
  • Help build the ingestion layer from source systems to the Snowflake Raw layer, developing and optimizing scalable batch, CDC, and streaming pipelines.
  • Support onboarding of new source systems, including connectivity, ingestion patterns, and pipeline audit logging, landing trusted data in Raw for downstream transformation by Analytics Engineering.
  • Provide reliable environments, deployment automation, and platform services that support Data Engineering's dbt transformation workloads.
  • Tune and optimize Snowflake compute, storage, and query performance to improve platform efficiency and cost management.

Operational Readiness & Automation
  • Build monitoring, alerting, and operational runbooks that enable Data Operations to monitor and manage production workloads.
  • Serve as Tier 2 escalation for pipeline failures and root cause analysis.
  • Support CI/CD deployments using Azure DevOps, GitHub, and Git-based development practices.
  • Support change management, deployment controls, and evidence requirements consistent with a SOX-controlled environment.
  • Develop automation solutions using SQL and Python to improve operational efficiency and reduce manual effort.
  • Provide Tier 2 production support and contribute to platform maintenance and continuous improvement initiatives.
  • Support platform resilience and disaster recovery initiatives, including Infrastructure as Code deployment of failover capabilities.

Enterprise Data Tools & Ecosystem Support
  • Provide platform support for enterprise data tools including Power BI, Microsoft Purview, and Alteryx, covering deployment, configuration, connectivity, and integration with the Snowflake and Azure environment.
  • Support the build-out of the Purview data governance platform, including scanning, classification, and metadata ingestion for the enterprise data catalog.
  • Help evaluate, implement, and operationalize additional data platform tools as the ecosystem expands, including data integration, self-service analytics, and other ancillary capabilities.

Collaboration & Continuous Improvement
  • Partner with Data Engineers, Data Architects, BI Developers, and business stakeholders to deliver reliable and scalable data solutions.
  • Document technical designs, operational procedures, and platform standards.
  • Identify opportunities to improve platform reliability, scalability, security, monitoring, and operational excellence.
  • Follow all established policies and procedures.
  • Perform other duties and projects as assigned.

WHAT YOU'LL BRING
  • Bachelor's degree in computer science, Information Technology, Information Systems, Engineering, or a related technical discipline.
  • 3-4 years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or a related technical role.
  • Hands-on experience with Microsoft Azure services, including Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Synapse Analytics.
  • Experience developing and supporting data solutions on Snowflake.
  • Familiarity with dbt or similar modern data transformation frameworks.
  • Strong SQL development, query optimization, and troubleshooting skills.
  • Experience with Git, Azure DevOps, CI/CD pipelines, and source control best practices.
  • Working knowledge of Python for scripting, automation, and operational support.
  • Strong analytical, problem-solving, and communication skills with the ability to work collaboratively in a team environment.
  • Experience with Infrastructure as Code (Terraform or similar tools).
  • Exposure to DataOps, DevOps, data observability, or monitoring platforms.
  • Experience working within Banking or Financial Services.
  • Familiarity with Medallion Architecture and modern cloud data warehouse design principles.
  • Experience supporting or administering enterprise data tools such as Power BI, Microsoft Purview, Alteryx, or similar data governance, integration, and analytics platforms.
  • Microsoft Azure certifications (AZ-900, DP-203) and/or Snowflake SnowPro certification.
  • High school diploma or equivalent required.

HOW WE'LL SUPPORT YOU
  • Financial Security: You will be eligible to participate in the company's 401k plan which includes a company match and immediate vesting.
  • Health & Well-Being: We offer comprehensive insurance options including medical, dental, vision, AD&D, supplemental life, long-term disability, pre-tax Health Savings Account with employer contributions, and pre-tax Flexible Spending Account (FSA).
  • Building & Supporting Your Family: Banc of California partners with providers that offer adoption, surrogacy, and fertility assistance as well as paid parental leave and family support solutions including care options for your family.
  • Paid Time Away: Eligible team members receive paid vacation days, holidays, and volunteer time off.
  • Career Growth Opportunities: To support career growth of our team members, we offer tuition reimbursement, an annual mentorship program, leadership development resources, access to LinkedIn Learning, and more.

The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors.
Banc of California is an equal opportunity employer committed to creating a diverse workforce. All qualified applicants will receive consideration for employment without regard to their actual or perceived race (including traits associated with race, such as hair texture, hair type or protective hairstyles), religion or religious creed (including religious dress and grooming practices), color, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), sexual orientation, gender, gender identity, gender expression, gender transitioning, citizenship status, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information, or disability (mental or physical), requests for accommodation and any additional protected categories set forth in applicable federal, state or local laws. If you require reasonable accommodation as part of the application process, please contact Talent Acquisition.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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