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Data Architect
Data ArchitectAgile Resources, Inc. • Atlanta, GA, United States
Data Architect

Data Architect

Agile Resources, Inc. • Atlanta, GA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.permanent]
[job_card.job_description]

Location Hybrid Remote in Atlanta (3 days onsite / week).

Note : Initial 100% onsite required for the first six months.

Employment Type : Permanent / Direct Hire / Full-time

Salary Up to $180,000 (depending on experience) + bonus

The Role :

We're seeking a highly skilled and hands-on Data Architect to lead the design, implementation, and ongoing evolution of our enterprise-grade data systems. This role is crucial for building scalable, secure, and intelligent data infrastructure that supports core analytics, operational excellence, and future AI initiatives. Success requires a seasoned technologist who can seamlessly integrate cloud-native services with traditional data warehousing to create a modern, unified data platform.

What You'll Do :

  • Architecture & Strategy : Lead the design and implementation of modern data platforms, including Data Lakes, Data Warehouses, and Lakehouse architectures, to enable a single source of truth for the enterprise.
  • Data Modeling & Integration : Architect unified data models that support both modular monoliths and microservices-based platforms. Design and optimize high-volume, low-latency streaming / batch ETL / ELT pipelines.
  • Technical Leadership : Drive the technical execution across the entire data lifecycle. Build and optimize core data processing scripts using Spark and Python.
  • Governance & Quality : Define and enforce standards for data governance, metadata management, and data observability across distributed systems. Implement automated data lineage tracking, schema evolution, and data quality monitoring.
  • Cloud Infrastructure : Configure and manage cloud-native data services, including core data storage and event ingestion infrastructure.

Required Experience :

  • Experience : 10+ years of proven experience in enterprise data architecture and engineering.
  • Core Platform Expertise : Strong, hands-on experience with the Azure Data Ecosystem including Azure Data Lake Storage (ADLS), Azure Synapse Analytics (or equivalent cloud DW), and Azure Purview (or equivalent data catalog).
  • Processing : Deep expertise in Databricks (or Apache Spark) for ETL / ELT pipeline implementation, using Delta Lake and SQL Server (or equivalent RDBMS).
  • Coding & Scripting : Strong proficiency in Python, Spark, and advanced SQL.
  • Data Governance : Hands-on experience implementing data lineage tracking and data quality monitoring (e.g., using Great Expectations or dbt).
  • Preferred Skills :

  • Semantic Technologies : Hands-on experience developing ontology frameworks using OWL, RDF, and SPARQL to enable semantic interoperability.
  • Advanced AI Data : Experience integrating structured / unstructured data into Knowledge Graphs and Vector Databases.
  • Streaming / Telemetry : Experience developing and maintaining semantic telemetry pipelines using services like Azure Event Hubs or Kafka.
  • Emerging Concepts : Exposure to linked data ecosystems, data mesh, or data fabric concepts.
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