Remote but candidate needs to sit in AL, FL, GA, MD, MI, OH, TN, TX, OR VA.
The Data Architect/Engineer position will be responsible for handling large volumes of data and expertise in Master Data Management (MDM). As a Data Architect/Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure to support our data-driven decision-making processes. You will work with a team of dedicated professionals and ensure data quality, reliability, and manage data repositories. This position is responsible for developing database solutions, installing, and configuring information systems, migrating data from legacy systems, and designing conceptual and logical data models. The position will also optimize database systems and collaborate with the Point team to identify future needs and requirements.
Design, develop, and maintain data pipelines for the ingestion, transformation, and storage of large datasets
Collaborate with analysts, and other stakeholders to understand data requirements and ensure data availability
Optimize and fine-tune data pipelines for performance, scalability, and cost-efficiency
Implement data security and compliance best practices
Develop and maintain documentation for data engineering processes and pipelines
Implement and maintain MDM processes, including the management of master data repositories
Ensure data quality and consistency across the organization by defining and enforcing MDM standards
Monitor and troubleshoot data pipelines and MDM processes to ensure data accuracy and reliability
Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Migrate data from legacy systems to new solutions
Design conceptual and logical data models and flowcharts
Improving data quality and efficiency
Ability to establish relationships with business, IT leaders and technology subject matter experts with effective verbal and written communication skills appropriate for both technical and non-technical audiences
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
Human Resources Request Form. The EEOC "Know Your Rights" Poster is available
here.
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Bachelors degree in an IT, Computer Science, or business field.
4-5 years relevant experience designing, implementing, and maintaining a large-scale data warehouse/lake.
Proven experience as a Data Engineer, preferably with experience working on large-scale data projects.
Understanding of data governance and data quality principles.
Strong understanding of data warehousing concepts and technologies.
Experience with SQL and NoSQL databases.
Strong problem-solving skills and attention to detail.
Experience with Master Data Management (MDM) tools and practices.
Experience with data orchestration and scheduling tools
Knowledge of data modeling and ETL (Extract, Transform, Load) processes.
Familiarity with big data technologies.
Experience with version control systems (e.g., Git,).
In-depth understanding of database structure principles
Understand data integration solutions such as Azure Data Factory, Databricks, Snowflake, and Python.
Experience gathering and analyzing system requirements.
Knowledge of data mining and segmentation techniques
Certifications (e.g., Azure Data Engineer, Snowflake, CDMP) a plus.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.