AI Data Developer

Durham, NC

Full Time

Experienced

JOB DESCRIPTION OVERVIEW
The Data Developer designs and constructs sophisticated data architectures to support advanced AI and analytics solutions, ensuring effective integration, storage, management, and utilization of structured and unstructured data assets. This role emphasizes robust data modeling, transformation, and governance, leveraging modern technologies tailored to healthcare and life sciences sectors. The Data Developer collaborates closely with solution architects, data scientists, and clients to deliver scalable and compliant data solutions.
POSITION RESPONSIBILITIES

Develop scalable and secure data architectures, including data pipelines, data warehouses, data lakes, data fabrics, and data meshes.
Design and implement data integration approaches (ETL, API, web services) for analytical and AI-driven use cases.
Aggregate, restructure, model, and curate data assets into scalable, high-performance data structures supporting advanced analytics and AI solutions.
Collaborate closely with solution architects and data scientists on data model designs and retrieval mechanisms, particularly in areas such as leveraging unstructured file repositories and developing retrieval-augmented generation (RAG) storage solutions.
Provide expert guidance to clients on developing robust capabilities in data governance, aggregation, and curation.
Assess client source information systems for relevant data structures and integration options, ensuring compliance with data standards and regulatory requirements.
Provide knowledge leadership on selecting and implementing tools for data integration, data pipelines, data aggregation (file repositories, data warehouses, data marts, data lakes, data fabrics, data mashes), data quality, business intelligence, data visualization, and data governance.

REQUIRED QUALIFICATIONS, SKILLS, AND EXPERIENCE

Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred.
Minimum of 7 years of experience in data development, data engineering, or similar roles.
Technical fluency in Microsoft Azure data technologies, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, and related Azure services.
Strong expertise in developing ETL/ELT processes and integration methods (API, web services).
Proficiency with data governance frameworks (Collibra, Informatica).
Excellent communication, collaboration, and client-facing consulting skills.
Demonstrated expertise in project planning, agile methodologies, and software development lifecycles.
Prior experience with data governance frameworks.

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Please consider CREO's Core Values which can be viewed here: https://creoconsulting.com/about-us/ . Please pick a Core Value that resonates most with you. Describe how you live this value and how you have applied this value to how you work.*

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How would you rate your experience in designing and building scalable data architectures (e.g., data lakes, data warehouses, data fabrics, or data meshes) to support advanced analytics or AI use cases? (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

How confident are you in developing and managing ETL/ELT processes and data integration using APIs or web services? (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

What is your level of hands-on experience with Microsoft Azure data tools, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage?(Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

How experienced are you in working with unstructured data and implementing solutions like retrieval-augmented generation (RAG) or other AI-enabling data structures? (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

Rate your expertise in implementing and advising on data governance frameworks and tools such as Collibra or Informatica. (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

How would you evaluate your ability to collaborate with cross-functional teams (solution architects, data scientists, and clients) in designing data models and scalable data solutions? (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

What is your proficiency level in assessing legacy or client source systems for data structure suitability, integration options, and compliance with data standards/regulations (especially in healthcare/life sciences)? (Rank 0-10) 0 = Little to no knowledge 10 = Deep expertise or author-level proficiency*

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