Senior Databricks Solutions Architect - NYC Onsite

Links Technology Solutions, Inc.

New York, Northern (NY, KY)

Hybrid

USD 193,000 - 207,000

Part time

14 days+
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Job summary

Links Technology Solutions, Inc. is seeking a Senior Solutions Consultant onsite in New York City with 9+ years of combined experience.

The role centers on bridging business strategy with technical execution in the Databricks ecosystem, delivering high-impact data engineering projects. You will advise on architectures, lead Databricks projects, optimize Spark workloads, and guide migrations from legacy systems such as Hadoop/Flink to modern platforms.

Qualifications

  • 5+ years of professional services or client-facing consulting experience.
  • 4+ years in Data Engineering with at least 2–3 major Databricks projects.
  • Completion of the Data Engineering Professional certification.
  • Strong Apache Spark background with Hadoop, Flink, Presto experience.
  • Completed Databricks tracks: Spark Programming, Data Engineering with Databricks, Optimizing Spark on Databricks.
  • Deep knowledge of Multi-hop (Bronze/Silver/Gold) pipeline and Delta Lake.
  • Experience in Linux environments and financial markets background.

Responsibilities

  • Translate client requirements into robust technical architectures.
  • Architect and implement end-to-end data processing workflows using Databricks Multi-hop architecture.
  • Tune Spark jobs for cost efficiency and high throughput.
  • Guide clients in migrating from legacy systems to modern data platforms.
  • Provide technical leadership and ensure best practices in coding, security, and data governance.

Skills

Consulting Experience
Data Engineering
Databricks
Apache Spark
Linux
Technical Leadership

Education

Data Engineering Professional certification

Tools

Databricks
Hadoop
Flink
Presto

Job description

Links Technology Solutions, Inc. is seeking a Senior Solutions Consultant onsite in New York City with 9+ years of combined experience.

The role centers on bridging business strategy with technical execution in the Databricks ecosystem, delivering high-impact data engineering projects. You will advise on architectures, lead Databricks projects, optimize Spark workloads, and guide migrations from legacy systems such as Hadoop/Flink to modern platforms.

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