Data Architect

Capgemini; United States; Remote; USD 82,000 - 128,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a Databricks Architect to design, implement, and govern enterprise data platforms on Azure Databricks. You will lead architecture, workspace provisioning, data lake design, security controls, metadata management, and integration with source systems to enable scalable analytics and data engineering capabilities.

You will design Azure Databricks workspace architectures, define data lake zones, establish governance frameworks, and drive platform standards

Qualifications

• Extensive experience architecting and administering Azure Databricks environments.
• Experience designing enterprise-scale data lakehouse and modern data platform solutions.
• Strong understanding of cloud-based data architecture, security, and governance principles.
• Experience working with cross-functional teams including engineering, infrastructure, security, and business stakeholders.
• Strong problem-solving, architecture, and communication skills.

Responsibilities

• Design Azure Databricks workspace architecture, compute environments, networking, and private-access configurations.
• Define enterprise data lake architecture, including Bronze, checkpoint, archive, and quarantine zones.
• Establish data orchestration patterns, catalog structures, governance frameworks, and platform standards.
• Develop high-level and low-level solution designs (HLD/LLD).
• Lead deployment and configuration of Databricks environments using approved automation frameworks.
• Implement security, governance, and access controls utilizing Unity Catalog and Azure Key Vault.
• Configure and secure ADLS Gen2 storage, private endpoints, retention policies, and access management.
• Design and validate source system connectivity, authentication mechanisms, and data ingestion frameworks.
• Define cluster, runtime, operational, performance, and security standards for the platform.
• Collaborate with engineering, infrastructure, security, and business stakeholders to support platform adoption.
• Support testing, validation, troubleshooting, and production readiness activities.

Skills

Azure Databricks

Data lakehouse design

Cloud data architecture

Security & governance

Cross-functional collaboration

Communication skills

Job description

Databricks Lakehouse Architecture, Medallion Data Model, Semantic/Platinum Layer Design, Data Governance

hld

terraform

Data Orchestration

lld

Databricks, ADLS, Unity Catalog, Apache Spark

Data Lakehouse

Role Summary

The Databricks Architect is responsible for designing, implementing, and governing enterprise data platforms on Azure Databricks. This role leads platform architecture, workspace provisioning, data lake design, security controls, metadata management, and source system integration to enable scalable, secure, and governed analytics and data engineering capabilities.

Key Responsibilities

Design Azure Databricks workspace architecture, compute environments, networking, and private-access configurations.

Define enterprise data lake architecture, including Bronze, checkpoint, archive, and quarantine zones.

Establish data orchestration patterns, catalog structures, governance frameworks, and platform standards.

Develop high-level and low-level solution designs (HLD/LLD).

Lead deployment and configuration of Databricks environments using approved automation frameworks.

Implement security, governance, and access controls utilizing Unity Catalog and Azure Key Vault.

Configure and secure ADLS Gen2 storage, private endpoints, retention policies, and access management.

Design and validate source system connectivity, authentication mechanisms, and data ingestion frameworks.

Define cluster, runtime, operational, performance, and security standards for the platform.

Collaborate with engineering, infrastructure, security, and business stakeholders to support platform adoption.

Support testing, validation, troubleshooting, and production readiness activities.

Required Qualifications

Extensive experience architecting and administering Azure Databricks environments.

Experience designing enterprise-scale data lakehouse and modern data platform solutions.

Strong understanding of cloud-based data architecture, security, and governance principles.

Experience working with cross-functional teams including engineering, infrastructure, security, and business stakeholders.

Strong problem-solving, architecture, and communication skills.

The pay range that the employer in good faith reasonably expects to pay for this position is $59.30/hour - $92.65/hour. Our offered 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.