Dynamics 365 Developer Jobs in Georgia

Description: We are seeking a Senior Big Data Developer to join us!

Responsibilities

• Lead the architecture and design of new data movement and transformation patterns leveraging Databricks, Spark, and AWS services.
• Define and implement ETL/ELT frameworks supporting both low-latency (Redpanda) and batch (Benthos) data ingestion.
• Collaborate with the Delivery Manager and client stakeholders to define the target state architecture and migration strategy from legacy data flows.
• Establish and enforce data product standards and contribute to the internal data delivery framework ensuring high-quality, reusable datasets.
• Oversee data quality, observability, and monitoring solutions to ensure reliability and trust in the data.
• Provide technical leadership to the data engineering team—reviewing code, optimizing pipelines, and ensuring adherence to architectural principles.
• Evaluate and document the current data environment, identify gaps, and propose scalable, cost-efficient improvements.
• Stay aligned with enterprise standards while introducing innovative architectural solutions that improve latency, scalability, and maintainability.
• Support knowledge transfer and capability building within the client’s team to ensure long-term sustainability of the solution.

Requirements

• Experience: Minimum 5 years of proven, hands-on experience as a Data Architect working with Databricks in production environments.
• Technical Expertise: Advanced knowledge of Apache Spark, AWS Glue, Apache Airflow, and Kafka (or similar streaming technologies). Strong proficiency in Python for data engineering and automation tasks. Solid understanding of AWS architecture, including networking, storage, and compute services.
• Architecture & Design: Experience designing and implementing data lakehouse and medallion architectures (raw → silver → gold). Proven ability to define data movement and transformation patterns for both batch and streaming pipelines. Familiarity with integrating low-latency and event-driven systems (e.g., Redpanda, Benthos) into enterprise data ecosystems.
• Data Quality & Governance: Experience implementing data quality frameworks, observability, and monitoring tools. Strong understanding of data governance principles and metadata management.
• Leadership & Communication: Ability to guide and mentor engineers and analysts on data architecture best practices. Excellent communication skills to collaborate with technical and non-technical stakeholders.

What we offer:

• Opportunity to work on bleeding-edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Benefits package - medical insurance, sports.
• Corporate social events.
• Professional development opportunities.