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Senior Databricks Architect

Satsyil CorporationTysons, VA🇺🇸United StatesPosted 27 Jul 2026

Why This Role Stands Out

Elevate your career as a Senior Databricks Architect at Satsyil Corporation, where you'll design innovative enterprise data solutions and gain valuable experience with cutting-edge technologies in a hybrid work environment. This role is perfect for a seasoned architect with deep Databricks expertise who thrives on building scalable, governed data architectures and wants to make a significant impact on analytics and AI initiatives. Apply today to join a forward-thinking team and shape the future of data at Satsyil.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Senior Databricks Architect,Satsyil Corp
Location: Tysons Corner (Hybrid), VA. Employment: Full-Time, W2. Clearance: U.S. Citizenship
Required: Ability to obtain Public Trust (minimum)
 
Position Overview
The Data Architect will design, implement, and optimize enterprise data architectures using
Databricks as the primary data lakehouse platform. This role requires deep expertise in
Databricks platform capabilities, medallion architecture  patterns, and modern data engineering
practices to deliver scalable, governed, and performant data solutions that support analytics,
AI/ML, and business intelligence initiatives.
Core Responsibilities
● Design and implement end-to-end data lakehouse architectures using Databricks on
AWS/Azure, incorporating medallion architecture  patterns (bronze, silver, gold layers) for
progressive data refinement
● Architect Delta Lake storage solutions with appropriate partitioning strategies,
Z-ordering, and optimization techniques to support high-performance query workloads
● Design Unity Catalog implementations for centralized data governance, including
metastore configuration, catalog/schema hierarchies, cross-workspace data sharing, and
fine-grained access controls (table-level, column-level, row-level security)
● Design parameterized, idempotent, and auditable data pipelines using Databricks
workflows, Delta Live Tables, Apache Spark, Structured Streaming, and Auto Loader
● Implement data quality frameworks with automated validation checks, anomaly
detection, data profiling, and data lineage tracking integrated into pipeline workflows
● Establish encryption strategies, audit logging frameworks, and compliance controls
aligned with FISMA, FedRAMP, HIPAA, or other regulatory requirements
● Optimize Databricks cluster configurations, query performance, and implement cost
management strategies using photon acceleration, serverless compute, and resource
tagging
● Architect feature stores, MLOps pipelines with MLflow, and analytical data models
optimized for BI tools and self-service analytics

Skills

AWS
Encryption
MLOps
MLflow
Apache
Apache Spark
Azure
Compliance
Databricks
HIPAA
Unity

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