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Advisory Manager

TechYard

Greater London

On-site

GBP 30,000 - 50,000

Full time

10 days ago

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Job summary

An innovative firm is seeking a Databricks Advisory Lead to drive strategic data solutions. This role involves advising clients on architecture and best practices while leading the design of advanced data platforms. You'll work with industry-leading clients, modernizing data ecosystems and enabling data-driven transformations. Join a collaborative culture that values continuous learning and offers competitive compensation, flexible work arrangements, and career growth opportunities. This is a chance to make a significant impact in the data landscape.

Benefits

Competitive compensation
Flexible work arrangements
Continuous learning opportunities
Collaborative culture

Qualifications

  • 8+ years in data and analytics roles, with 3+ years in Databricks solutions.
  • Strong communication skills for engaging technical and business stakeholders.

Responsibilities

  • Lead design and delivery of data solutions using Databricks.
  • Guide and mentor teams on Databricks capabilities and delivery excellence.

Skills

Databricks
Spark
Python
SQL
Delta Lake
MLflow
Unity Catalog
AWS
Azure
GCP

Education

Bachelor's degree in a relevant field

Tools

Terraform
CI/CD tools

Job description

2 days ago Be among the first 25 applicants

Direct message the job poster from TechYard

Director Talent & Delivery @ TechYard Recruitment | Google, Microsoft Stack, AI and Data

Databricks Advisory Lead – Consulting Services

Overview:

We are seeking a highly experienced Databricks Advisory Lead to join our consulting practice. In this role, you will act as a strategic advisor to clients, leading the design and delivery of advanced data solutions leveraging the Databricks Lakehouse Platform. You will partner with business and technical stakeholders to modernize data ecosystems, enabling data-driven transformation at scale.

Key Responsibilities:

  • Client Advisory & Strategy:
  • Serve as the primary Databricks expert in client engagements, advising on architecture, best practices, and use cases.
  • Lead discovery sessions to assess data maturity and define tailored data modernisation strategies.
  • Translate business requirements into scalable technical architectures and roadmaps using Databricks and cloud technologies.
  • Design and oversee implementation of data platforms and AI/ML solutions on Databricks.
  • Drive end-to-end project delivery in collaboration with cross-functional teams (data engineering, cloud, analytics).
  • Ensure solution quality, performance, and governance through robust architecture design and code reviews.
  • Team & Thought Leadership:
  • Guide and mentor consultants and engineers on Databricks capabilities and delivery excellence.
  • Contribute to the development of reusable assets, frameworks, and accelerators within the Databricks practice.
  • Represent the firm in industry events, webinars, and client-facing workshops.

Required Qualifications:

  • 8+ years of experience in data and analytics roles, with 3+ years leading Databricks-based solutions.
  • Hands-on expertise in Spark, Delta Lake, MLflow, Unity Catalog, and DBSQL.
  • Strong proficiency in Python, SQL, and at least one major cloud platform (AWS, Azure, or GCP).
  • Excellent communication skills and ability to engage both technical and business stakeholders.
  • Experience leading project teams and managing client relationships.

Preferred Qualifications:

  • Databricks certifications (e.g., Data Engineer Associate/Professional, Solution Architect).
  • Knowledge of data governance, security, and compliance frameworks.
  • Experience with CI/CD for data pipelines and infrastructure-as-code tools (Terraform, ARM, etc.).
  • Background in industry verticals like finance, healthcare, or manufacturing is a plus.

Why Join Us?

  • Work with industry-leading clients across diverse domains.
  • Be part of a growing, high-impact data practice with strong partnerships with Databricks.
  • Access continuous learning, certifications, and career growth opportunities.
  • Competitive compensation, flexible work arrangements, and a collaborative culture.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology and Consulting
  • Industries
    IT Services and IT Consulting, IT System Custom Software Development, and IT System Data Services

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