Solution Architect

Capgemini
Alpharetta, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Alpharetta, United States of America

Tech stack

Azure
Big Data
Data Architecture
Data Validation
Information Engineering
Data Warehousing
Python
SQL Azure
Performance Tuning
SQL Databases
Azure
Snowflake
Spark
Data Layers
Data Lake
Data Pipelines
Key Vault
Databricks

Job description

stakeholder management Snowflake azure sql Microsoft Azure data engineering solution architecture cross - functional collaboration production support data warehouse python programming

We are seeking a Solution Architect 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., * 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.

Requirements

  • 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.

Preferred Qualifications:

  • Azure Solution Architect Expert and/or Azure Data Engineer Associate certification.
  • Experience with regulated environments and strong governance requirements.
  • Exposure to BI tools and semantic data consumption patterns.

Benefits & conditions

$41.61 - $65.01 an hour - Contract, Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

Apply for this position