Senior Data Engineer & AI Platform Lead (Hybrid)

Vivanti Consulting

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental & vision
401(k) with company match
20 days PTO + 10 holidays
CitiBike membership
Commuter benefits
Parental leave
Life insurance
Professional certifications funded
Mentorship program
Career development resources
Team socials & events
Office snacks

Job summary

Vivanti is seeking a Principal Consultant to lead data engagements and mentor a team of technologists. You will drive client delivery excellence, expand Vivanti’s footprint, and contribute to internal IP across cloud and data platforms.

Ideal candidates bring 8–15 years of data engineering experience, strong cloud certifications, and a track record of delivering complex data projects using SQL, Python, and modern ETL/ELT tooling.

Qualifications

  • 8–15 years hands-on data engineering experience.
  • Proven ability to lead data engagements and mentor teams.
  • Strong cloud platform expertise (AWS/Azure/GCP) and analytics tooling.

Responsibilities

  • Lead and develop data engineering teams to deliver client projects.
  • Own client delivery outcomes and ensure timely, quality results.
  • Promote Vivanti's brand and manage vendor relationships.
  • Drive financial and commercial success of engagements.
  • Develop internal IP and contribute to scalable data solutions.
  • Support recruitment and professional development of staff.
  • Oversee timesheets, governance meetings, and project administration.

Skills

Data Eng Leadership
Cloud Certifications
SQL
Python
AWS
Azure
GCP
Databricks
Snowflake
Git
CI/CD
ML/AI
Spark
Airflow
ETL/ELT

Tools

AWS
Azure
GCP
Databricks
Snowflake
Spark
Airflow
Git
CI/CD

Job description

Vivanti is seeking a Principal Consultant to lead data engagements and mentor a team of technologists. You will drive client delivery excellence, expand Vivanti’s footprint, and contribute to internal IP across cloud and data platforms.

Ideal candidates bring 8–15 years of data engineering experience, strong cloud certifications, and a track record of delivering complex data projects using SQL, Python, and modern ETL/ELT tooling.

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