Data Architect

7 days ago

United States Pitisci & Associates Full time
DATA ARCHITECT

DIRECT HIRE (USC/GC ONLY)

ATLANTA, GA (HYBRID)

OVERVIEW

Our client is seeking a hands-on Data Architect who will serve as the organization's primary data expert.
  • This individual will own the architecture, modeling, performance optimization, and governance of all data systems.
  • The company currently has no dedicated data professionals outside of a DBA and is actively hiring an offshore data engineer to support smaller-scale work.
  • The Data Architect will set standards, define direction, and architect scalable solutions-particularly around AWS, Databricks, multi-tenant design, and real-time data streaming.
  • Candidates with 2-4+ years of Databricks experience typically have the core technical foundation needed for this role.
KEY RESPONSIBILITIES
  • Architect, design, and optimize enterprise data solutions across AWS environments (structured, unstructured, relational, and NoSQL sources).
  • Design logical and physical data models, including ER diagrams, dimensional models, and multi-tenant schemas.
  • Lead performance tuning and optimization efforts for Oracle and PostgreSQL databases.
  • Define and implement OLTP and OLAP architectures, including data warehousing and ETL/ELT best practices.
  • Build and support real-time data streaming solutions (including CDC, queuing technologies like Kafka, and event-driven pipelines).
  • Enable near real-time delivery of data changes directly to customers for consumption within their own data lakes.
  • Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform.
  • Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well-governed data systems.
  • Establish standards, best practices, and architectural patterns for enterprise data management.
  • (Preferred) Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models.
REQUIRED EXPERIENCE
  • Databricks experience (required) - strong working proficiency with 2-4+ years strongly preferred.
  • Deep AWS data ecosystem experience, including design and hands-on engineering with structured, unstructured, relational, and NoSQL data.
  • Database expertise in Oracle and PostgreSQL including schema design, indexing, and performance tuning.
  • Strong data modeling skills; ability to design optimal models and produce professional ER diagrams.
  • Near-expert experience optimizing databases for performance and scalability.
  • Strong understanding of multi-tenant architectures, including schema isolation and workload management.
  • Experience with both OLTP and OLAP systems, including modern data warehousing and ETL/ELT patterns.
  • Experience with CDC, data streaming, and queuing systems (e.g., Kafka, Kinesis, Pulsar).
  • Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes.
  • Experience designing or supporting data pipelines optimized for AI/ML workloads, including feature engineering, vector storage, model-ready datasets, or integration with AI platforms (e.g., SageMaker, Databricks ML, or similar).
PREFERRED QUALIFICATIONS
  • Experience building data lakes that support AI or advanced analytics.
  • Experience designing data architectures that feed or support AI/ML models.
  • Previous ownership of enterprise data strategy or acting as the primary data expert within an organization.
IDEAL CANDIDATE PROFILE
  • Hands-on, highly technical Data Architect who can own end-to-end data architecture.
  • Comfortable being the go-to data authority in an environment with limited existing data expertise.
  • Strategic, forward-thinking, and experienced in shaping modern cloud-native data ecosystems.
  • Strong communicator capable of working across teams and guiding offshore resources.

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