Databricks Platform Architect
Role details
Job location
Tech stack
Job description
'We are seeking an experienced Databricks Platform Architect who can work with our client(s) in defining and delivering end to end analytics and data science solutions on the Databricks Lakehouse Platform. Has experience and extensively worked with Iceberg for open table format workloads and cross-platform interoperability between Databricks, Snowflake and Microsoft Fabric., * Lead workshops with technical stakeholders to gather requirements and translate them into a comprehensive Databricks Lakehouse architecture with interoperability with snowflake, Databricks on another tenant and Microsoft Fabric.
- Leverage Photon execution engine to accelerate SQL-based transformations, queries, and high-performance ELT pipelines.
- Tune SQL and Spark jobs for optimal performance, including partitioning, , Adaptive Query Execution (AQE), broadcast joins, and cluster-level optimization.
- Improve pipeline performance and cost efficiency through Photon-optimized SQL workloads, cluster sizing, autoscaling, and effective use of SQL Warehouses and Job Clusters.
- Align workloads to the appropriate Databricks compute types (SQL Warehouses, Photon, All-Purpose Clusters) to balance performance, concurrency, and cost
Requirements
Has good experience in designing SQL and Spark based Transformations on Databricks, the person needs to be experienced enough to showcase the technical maturity on various aspects of data architecture and advise the customer on a architecture that complements Databricks Iceberg along with interoperability., * Proven track record of designing and deploying large scale data platforms on Azure and Databricks
- Strong understanding of data modeling (star/snowflake schemas), ELT/ETL patterns, and data governance.
- Excellent communication skills: ability to lead technical discussions and present to executive stakeholders.
- Good Understanding of the DBT based ETL processing Certifications Databricks Certified Data Engineer Associate (or higher). Databricks Certified Data Architect Professional (preferred). Certification in at least one major cloud provider (AWS/Azure/GCP).'
Benefits & conditions
The base compensation range for this role in the posted location is:$119,392 - $177,320.
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 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.