Slalom Flex (Project Based)- GCP Data Architect
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all.
About the role
We are seeking an experienced Senior GCP Data Architect to lead the design and modernization of enterprise-scale data platforms. This role will define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable advanced analytics, AI/ML, and cloud transformation initiatives.
The ideal candidate brings deep expertise in Google Cloud Platform (GCP), modern data architectures, and large-scale data modernization programs.
Responsibilities
- Architect and lead end-to-end cloud-based data solutions on Google Cloud Platform (GCP).
- Assess existing data ecosystems and develop modernization roadmaps aligned with business objectives.
- Design scalable data platforms, integration patterns, and data models that support analytics, reporting, and AI/ML initiatives.
- Establish architecture standards, governance practices, and reusable design patterns for engineering teams.
- Lead the design of batch, streaming, and real-time data processing solutions.
- Collaborate with business stakeholders, product leaders, architects, and engineers to deliver high-impact solutions.
- Provide technical leadership and architectural oversight for strategic data initiatives.
- Drive adoption of modern architecture approaches including Data Mesh, Data Products, and event-driven architectures.
Requirements
- 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform Design.
- Extensive experience designing and implementing large-scale cloud data platforms on Google Cloud Platform (GCP).
- Strong expertise in:
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Storage
- Composer (Airflow)
- Experience with modern data processing frameworks including Spark and Kafka.
- Deep understanding of data modeling, data integration, data quality, and data governance.
- Experience designing highly scalable, fault-tolerant, and cloud-native data solutions.
- Expertise with modern data architectures including data lakes, lakehouses, and enterprise data warehouses.
- Experience with batch, streaming, and Change Data Capture (CDC) data pipelines.
- Strong communication and stakeholder management skills with the ability to influence technical strategy.
Preferred Qualifications
- Experience with Databricks, Snowflake, Terraform, and cloud-native orchestration tools.
- Knowledge of Data Mesh and Data Product operating models.
- Experience supporting AI/ML and advanced analytics platforms.
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
- Consulting or enterprise transformation experience leading cloud modernization initiatives.
Skills
- GCP
- BigQuery
- Data Architecture
- Data Modeling
- Data Engineering
- Data Mesh
- Data Lakes/Lakehouse
- Data Governance
- Streaming & Real-Time Processing
- Spark
- Kafka
- Airflow
- AI/ML Enablement
- Cloud Modernization
Pay
For this position, the base salary pay range is $105–$130/hour. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Benefits
- Meaningful time off and paid holidays
- 401(k) with a match
- Highly subsidized health, dental, & vision coverage
- Adoption and fertility assistance
- Long-term disability
- Yearly $350 reimbursement account for any well-being-related expenses