Databricks Integration Engineer

Valiant Technologies LLC

Boston (MA)

On-site

USD 180,000 - 260,000

Full time

31 hours ago
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Job summary

Valiant Technologies LLC seeks an experienced Databricks expert to design scalable, secure data and AI platforms on the Databricks Lakehouse. The role will define target architecture, establish engineering standards, and guide data ingestion, transformation, governance, performance optimization, and production operations.

The candidate will lead architecture reviews, drive cost optimization, and establish CI/CD and monitoring best practices while partnering with stakeholders and mentoring

Qualifications

  • 12–15 years of data engineering, integration, or cloud/data architecture.
  • Hands-on Databricks experience with cloud architectures.
  • Strong knowledge of Spark, Delta Lake, Unity Catalog, SQL and Python.
  • Experience designing enterprise-scale data and AI platforms.
  • Security, governance, performance tuning, and cost optimization familiarity.
  • CI/CD and production monitoring experience.
  • Excellent communication and stakeholder management.

Responsibilities

  • Design scalable and secure Databricks Lakehouse architectures.
  • Define target architecture, engineering standards, and reusable frameworks.
  • Lead data ingestion, transformation, governance, and production operations.
  • Conduct architecture reviews and technology evaluations.
  • Drive performance and cost optimization across the platform.
  • Establish CI/CD, monitoring, and operational best practices.
  • Partner with client stakeholders, data engineers, analysts, security teams, and vendors to translate business requirements into technical solutions.
  • Provide technical leadership and mentoring to engineering teams.

Skills

Databricks
Cloud architecture
Apache Spark
Delta Lake
Unity Catalog
SQL
Python
Data governance
Performance tuning
CI/CD
Production monitoring
Stakeholder management

Job description

Job Description

We are seeking an experienced Databricks expert to design and deliver scalable, secure data and AI platforms on the Databricks Lakehouse. The role will define the target architecture, establish engineering standards, and guide the implementation of data ingestion, transformation, governance, performance optimization, and production operations.

Key Responsibilities
  • Design scalable and secure Databricks Lakehouse architectures.
  • Define target architecture, engineering standards, and reusable frameworks.
  • Lead data ingestion, transformation, governance, and production operations.
  • Conduct architecture reviews and technology evaluations.
  • Drive performance and cost optimization across the platform.
  • Establish CI/CD, monitoring, and operational best practices.
  • Partner with client stakeholders, data engineers, analysts, security teams, and vendors to translate business requirements into technical solutions.
  • Provide technical leadership and mentoring to engineering teams.
Required Skills
  • 12-15 years of overall experience in data engineering, integration, or cloud/data architecture.
  • Strong hands-on expertise with Databricks and cloud architecture.
  • Strong knowledge of Apache Spark, Delta Lake, Unity Catalog, SQL, and Python.
  • Experience designing enterprise-scale data and AI platforms.
  • Strong understanding of data governance, security, performance tuning, and cost optimization.
  • Experience with CI/CD and production monitoring.
  • Excellent communication and stakeholder-management skills.
Preferred Skills
  • Exposure to Generative AI (GenAI) solution patterns.
  • Understanding of enterprise architecture principles and standards.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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