Databricks Architect - Tarrytown, NY [Hybrid]
At OMG Technology · NY, New York
- Engineering
- Contract
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Where you’ll work
Hybrid, based in the United States
“NY, New York”
From the job board field.
“Location: Tarrytown, NY”
From the job description.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 29 October 2026
- First seen by us
- 3 November 2026
- Last checked
- 23 hours ago
Job description
From OMG Technology’s job post, as they wrote it.
Job Details:
Position: Databricks Architect
Location: Tarrytown, NY
Work Arrangement: Hybrid — 3 days onsite per week
Contract Duration: 1 year
Role Summary
We are looking for a strong Databricks Architect to lead enterprise-scale Lakehouse architecture and implementation on AWS. The role involves designing scalable data solutions, modernizing existing data platforms, establishing governance standards, and leading architecture discussions with customers.
Read the full description
Key Responsibilities
* Lead enterprise-scale Databricks Lakehouse architecture and implementation on AWS.
* Drive migration of EMR, NiFi, Redshift, and legacy ETL workloads to Databricks.
* Evaluate newer Databricks capabilities, including Serverless, Lakehouse Federation, Genie, Databricks Apps, Lakebase, and AI/ML.
* Architect scalable batch, streaming, CDC, and real-time data solutions.
* Design reusable frameworks using Delta Lake, PySpark, Auto Loader, DLT, and Databricks Workflows.
* Define governance, security, lineage, and data-quality standards using Unity Catalog.
* Establish best practices for performance, scalability, and cost optimization.
* Lead customer workshops, architecture reviews, and solution assessments.
* Define target-state architecture, migration roadmaps, and reusable patterns.
Required Skills & Qualifications
* 15+ years of overall Data & Analytics experience.
* 4+ years of hands-on Databricks experience as specified in the JD.
* Strong experience with Databricks, Delta Lake, Unity Catalog, DLT, and Auto Loader.
* Proficiency in PySpark, Spark SQL, Python, and Structured Streaming.
* AWS experience with S3, IAM, Glue, Redshift, EMR, and Lambda.
* Experience with Airflow, CDC, and enterprise data migration.
* Knowledge of data governance, security, and observability.
* Strong customer-facing, solution architecture, and technical leadership skills.
Preferred Qualifications
* Healthcare or pharmaceutical domain experience is preferred but not mandatory.
* Experience with enterprise-scale data platform modernization and migration is beneficial.
Databricks Architect - Tarrytown, NY [Hybrid]OMG Technology
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