Capgemini

Azure Databricks Lead

Capgemini$103K — $128K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in data engineering and data architecture with a focus on hands-on delivery.
  • Deep expertise in Azure data ecosystem components including ADLS, Azure Data Factory, and Azure SQL/Synapse.
  • Strong hands-on experience with Snowflake for schema design and performance tuning.
  • Proficient in Databricks including Delta Lake and notebook orchestration.
  • Advanced skills in Python, SQL, and Spark for large-scale data tasks.
  • Excellent communication skills for engaging both technical and business stakeholders.

Responsibilities

  • Define and implement end-to-end data architecture on Azure, Snowflake, and Databricks.
  • Design scalable data lakehouse and warehouse patterns for data processing.
  • Build and maintain batch and near real-time data pipelines using Python, SQL, and Spark.
  • Architect medallion-style models and curated layers for analytics.
  • Optimize Snowflake and Databricks performance and cost.
  • Establish monitoring, alerting, and data quality standards for operational reliability.
  • Collaborate with cross-functional teams to build scalable solutions and mentor team members.

Benefits

  • Paid time off based on employee grade, including vacation, holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage (or provincial healthcare in Canada).
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
  • Life and disability insurance.
  • Employee assistance programs.
Full Job Description


Job Location

Job is located in Alpharetta , GA - Onsite Hybrid

Your Role

We are seeking a Azure Databricks Lead who is also hands-on in data engineering, with deep expertise in Azure Cloud, Snowflake, and Databricks. This role combines strategic architecture ownership with active implementation, covering data platform design, pipeline engineering, governance, performance optimization, and production support for enterprise-scale analytics.

Key Responsibilities

Define and implement end-to-end data architecture on Azure, Snowflake, and Databricks.
Design scalable lakehouse and warehouse patterns for ingestion, transformation, and data serving.
Build and maintain robust batch and near real-time data pipelines using Python, SQL, and Spark.
Architect and implement medallion-style models and curated data layers for reporting and advanced analytics.
Optimize cost and performance across Snowflake warehouses and Databricks compute/workloads.
Establish monitoring, alerting, data quality checks, and operational reliability standards.
Collaborate with business, product, analytics, and engineering teams to convert requirements into scalable solutions.
Mentor team members and enforce architecture and engineering best practices.

Required Skills and Experience

8+ years of experience in data engineering and data architecture, with strong hands-on delivery.
Strong expertise in Azure data ecosystem, including ADLS, Azure Data Factory, Azure SQL/Synapse, Key Vault, Entra ID, and Monitor.
Strong hands-on experience with Snowflake, including schema design, performance tuning, virtual warehouses, and role-based security.
Strong hands-on experience with Databricks, including Delta Lake, Workflows, notebook orchestration, and Unity Catalog concepts.
Advanced proficiency in Python, SQL, and Spark for large-scale data transformation.
Strong communication and stakeholder management skills across technical and business audiences.

The base compensation range for this role in the posted location is: 103330 - 128656

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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