Databricks Integration Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Boston (MA); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC in Boston, MA is seeking an experienced Databricks Integration Engineer to design and deliver scalable data and AI platforms on the Databricks Lakehouse. You will define the target architecture, establish engineering standards, and guide ingestion, governance, and production operations.

The role requires 12–15 years in data engineering or cloud architecture, with hands-on Databricks, Spark, Delta Lake, SQL, and Python.

Formación

• 12–15 years of data engineering or cloud architecture experience.
• Hands-on Databricks expertise and cloud platform knowledge.
• Strong knowledge of Spark, Delta Lake, Unity Catalog, SQL and Python.
• Experience designing enterprise-scale data and AI platforms with governance.

Responsabilidades

• 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.

Conocimientos

Databricks

Cloud architecture

Apache Spark

Delta Lake

Unity Catalog

SQL

Python

CI/CD

Security best practices

Stakeholder management

Descripción del empleo

Job Description

Job ID: J53477

Job Title: Databricks Integration Engineer

Location: Boston, MA

Duration: 16 Months + Extension

Domain Exposure: Aerospace/ Airlines

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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.