NavitsPartners
Senior Data Modeler - ITAJS
NavitsPartners - Washington
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Overview
Job Title: Senior Data Modeler
Location: Washington, DC (Onsite/Hybrid options may apply)
Type: Contract
Job Description:
We are seeking a highly skilled Senior Data Modeler with a strong background in the financial industry and deep expertise in Databricks on AWS. The ideal candidate will play a key role in defining and optimizing data models that support both new and existing business domains. This role demands a strategic thinker who can collaborate across teams and deliver robust, scalable, and high-performance data solutions.
Key Responsibilities:
Location: Washington, DC (Onsite/Hybrid options may apply)
Type: Contract
Job Description:
We are seeking a highly skilled Senior Data Modeler with a strong background in the financial industry and deep expertise in Databricks on AWS. The ideal candidate will play a key role in defining and optimizing data models that support both new and existing business domains. This role demands a strategic thinker who can collaborate across teams and deliver robust, scalable, and high-performance data solutions.
Key Responsibilities:
- Design and implement conceptual, logical, and physical data models in Databricks to support enterprise-level business domains
- Collaborate with product owners, system architects, data engineers, and vendors to develop data models that are optimized for performance, compute, and storage
- Define and enforce best practices for Bronze/Silver/Gold lakehouse architecture layers
- Generate comprehensive documentation including data models, dictionaries, definitions, and metadata artifacts
- Drive governance standards for data integrity, security, and compliance
- 10+ years of experience in AI, Data Science, or Software Engineering, with deep expertise in enterprise data ecosystems
- Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent professional experience)
- Proven experience in data modeling-designing optimized storage, retrieval, and analytics models in Databricks on AWS
- Hands-on expertise in Databricks SQL, Runtime, clusters, notebooks, and integrations
- Proficiency in building ELT pipelines using Databricks tools and Apache Spark
- Strong background in data integration from various sources such as relational databases, APIs, and flat files
- Skilled in performance optimization-partitioning, caching, clustering, and Spark tuning techniques
- Solid understanding of data governance, including security and compliance frameworks
- Proficient in advanced SQL and Spark (Scala or Python) for data transformation and analysis
- Familiarity with cloud architecture, particularly AWS services
- Basic experience with data visualization tools (e.g., Tableau) for reporting and analytics
- Knowledge of government cloud compliance standards such as FedRAMP and FISMA is a strong plus