Solutions Data Engineer Solutions Data Engineer …

in Charlotte, NC, United States
Permanent, Full time
Be the first to apply
in Charlotte, NC, United States
Permanent, Full time
Be the first to apply
Solutions Data Engineer
Cloud Solutions Data Engineer Charlotte, NC, United States/en-US/Barings/job/Charlotte--NC-United-States/Cloud-Solutions-Data-Engineer_JR_001725/apply

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Business Unit:

Applications/Investment Systems

Job Title

Cloud Solutions Data Engineer

Department: Data Engineering

Location: Charlotte, NC

Barings is a $335+ billion* global financial services firm dedicated to meeting the evolving investment and capital needs of our clients and customers. Through active asset management and direct origination, we provide innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe and Asia Pacific.

*As of September 30, 2019

Job Summary

Barings Data Engineering group is seeking an experienced Cloud Solutions Data Engineer. This position will be located in the Barings Charlotte, NC office. As a member of this team, the associate will be part of a fast paced environment that services multiple business lines around the globe. The associate will be responsible for designing, developing, and optimizing data warehouses, data pipelines, and cloud infrastructure to drive intelligent applications using Microsoft Azure. The Cloud Solutions Data Engineer will work closely with in-house application development teams, data scientists, Database Administrators and project management office as part of Data Engineering team. This is a highly technical position, but also requires strong communication and mentoring skills.

Primary Responsibilities

  • Designing optimal cloud-hybrid Big Data/Data Warehouse data pipelines & orchestration architectures to migrate existing solutions from on premise to cloud, and to initiate new cloud data solutions.
  • Constructing new data platforms and developing pipelines, ETL and analytical processes to support products and solutions.
  • Technical oversight for advanced analytical solutions to deliver real-time insights.
  • Developing strategies, policies and best practices regarding Big Data and Cloud data acquisition, integration and analytics.
  • Preparing technical design documents and estimation including storage, resource, and operational details.
  • Work with development teams, Data Scientists, Database Administrators and Project Management Office as part of Data Engineering team.
  • Mentoring and coaching peers on cloud technologies.


  • 3+ years experience working in Azure SQL Data Warehouse, Azure Data Factory and Azure Data Lakes.
  • Hands-on experience in designing and implementing scalable, performant data platforms, and ability to deliver proof of concepts and projects in Azure.
  • Hands-on experience in designing data solutions integrating on premise and cloud data sources.
  • Experience working with Cloud environments and data repositories.
  • Thorough understanding of Big Data, and execution experience with Enterprise Data Warehouses (EDWs) and knowledge of BI/DW solutions.
  • Experience developing and tuning ETL processes and utilizing industry-standard ETL tools (e.g. SSIS)
  • Experience with modern Data Ingestion/Data Integration/Data Pipeline/Data Orchestration tools & streaming services (ex. Apache Kafka, Nifi, AWS Kinesis, Snowflake Streams & Tasks)
  • Advanced working SQL knowledge and experience working with relational databases, NOSQL, DocumentDB, etc.
  • Familiarity with data-oriented scripting languages: shell, Python/R/Java/Scala/Perl.
  • Working knowledge of message queuing and stream processing and familiarity working with big data formats (Apache Avro, Parquet, ORC).
  • Familiarity with data modeling approaches such as ERD and concepts behind relational, normalized and star schema database architectures

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.

Posted YesterdayFull timeJR_001725

Barings is a leading global asset management firm dedicated to meeting the evolving investment and capital needs of our clients. We build lasting partnerships that leverage our distinctive expertise across traditional and alternative asset classes to deliver innovative, institutional-quality solutions and service.

Our team-driven culture is based on transparency, responsibility and putting our clients interests first. We listen to our clients to understand their needs, so that we can be a strategic advisor and long-term partner in meeting their unique investment goals. Risk management and protecting our investors capital over the long term is an essential component of our lasting partnerships.

Barings is also committed to building long-term relationships with our associates and providing opportunities and support to help them succeed. With our expanding business and global footprint, Barings offers a wealth of opportunities for associates who share our culture, values and commitment to excellence in client service.

As an organization, we believe that a diversity of perspectives and strengths is essential to meeting the evolving needs of our clients, and we are committed to attracting and retaining a talented workforce as diverse as the clients and communities that contribute to our success.