What are the responsibilities and job description for the Solution Architect position at capgemini?
Key responsibilities:
Architecture & Platform Engineering:
Develop end-to-end architectural patterns leveraging Databricks, Spark, Delta Lake, Unity catalog and Azure Data services
Design scalable Lakehouse foundations, ensuring performance, reliability, and maintainability of data layers.
Establish architectural frameworks and standards for ingestion, curation, storage, and consumption.
Experience in building a data platform with unity catalog and design the multi-tenant solution with data governance principles.
Collaboration & Leadership:
Serve as a primary technical advisor for engineering teams, analysts, and data science partners.
Participate in planning ceremonies, architectural councils, and cross-functional strategy discussions.
Platform Innovation & Best Practices
Continuously evaluate emerging tools, Databricks capabilities, and Azure offerings to enhance platform maturity.
Maintain and refine coding conventions, DevOps standards, and operational playbooks.
Drive automation across deployment processes using Azure DevOps, or equivalent CI/CD toolchains.
Skills:
Bachelor’s degree in Computer Science, Engineering, or related discipline.
10 to 15 years of experience in data engineering and/or data architecture roles.
Advanced hands-on experience with Databricks, Apache Spark, and the Azure data stack.
Strong practical knowledge of Lakehouse patterns, Delta Lake, and modern data warehousing.
Demonstrated background designing resilient ETL/ELT systems with both batch and streaming patterns.
Proficiency with SQL data stores, schema design, and performance optimization.
Experience working with structured and semi-structured formats such as Parquet, ORC, and JSON.
Solid understanding of cloud security, access governance, and metadata/catalog strategies (e.g., Unity Catalog).
Experience implementing automated build/deploy workflows for data solutions.
Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
Hands-on experience with data lineage tools, or governance frameworks.
Exposure to domain-driven design or product-oriented data architecture.
The pay range that the employer in good faith reasonably expects to pay for this position is $43.46/hour - $67.90/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Salary : $43 - $68