Lead Consultant, Data & Ai Engineering

Ensono

Remote
Remote
Leading agile delivery teams
Data and analytics lifecycle
Cloud-based data platforms
Ensono is seeking a Lead Consultant in Data & AI Engineering who will lead agile delivery teams in designing and architecting scalable data platforms. The ideal candidate should possess extensive experience in big data engineering, cloud technologies, and advanced analytics, while aligning with Ensono's core values of honesty, reliability, curiosity, collaboration, and passion

Job Summary

  • As a Lead Consultant, you will be playing a leadership role and spending most of your time leading an agile delivery team across all aspects of the data and analytics lifecycle.
  • You will be responsible for identifying appropriate technologies, designing and architecting scalable data platforms and solutions using cloud-based services, and influencing project success.
  • You will work closely with senior technical people from the client, navigating complex stakeholder relationships and guiding architectural and technical decisions across data engineering solutions.

Matching Summary

Match Score: 85

Ensono is seeking a Lead Consultant in Data & AI Engineering who will lead agile delivery teams in designing and architecting scalable data platforms. The ideal candidate should possess extensive experience in big data engineering, cloud technologies, and advanced analytics, while aligning with Ensono's core values of honesty, reliability, curiosity, collaboration, and passion.

Skills & Requirements

Must-have

  • Leading agile delivery teams
  • Data and analytics lifecycle
  • Cloud-based data platforms
  • Data lakes and ingestion pipelines
  • Distributed data processing
  • Apache Spark and DataBricks
  • AWS, Azure, GCP
  • Machine learning and AI solutions

Nice-to-have

  • Relentless ally
  • Disrupting the status quo
  • Collaborative team environment
  • Understanding client business impact

Key Requirements

  • Engineering Big Data patterns
  • Designing scalable data platforms
  • Modeling best practices for RDMS and NoSQL
  • Designing distributed data processing solutions
  • Designing solutions using cloud-based services
  • Implementing large-scale data ingestion pipelines
  • Designing data platforms for ML/AI
  • Taking on challenges and being responsible for outcomes
  • Creating a collaborative team environment
  • Great communication skills
  • Understanding project impact on client success

Work Rights

Not specified

Tailored Resume

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