Google Data Architect

About the role

Slalom's Google Center of Excellence (COE) is dedicated to enhancing client digital transformation through intelligent product development, system engineering, and innovative data product creation. Our focus includes batch and real-time data engineering, modern data platforms on Google Cloud, data integration, and orchestration, as well as AI-ready data foundations.

Responsibilities

• Design and deliver enterprise-scale data platforms on Google Cloud Platform (GCP)
• Architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services
• Migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations
• Lead analysis, architecture, design, and delivery of client’s next generation Google Cloud Data Platform Solutions
• Facilitate working design sessions with Slalom and client technical teams
• Communicate trade-offs, benefits, risks, and implementation paths of architecture designs
• Break down complex architecture into deliverable workstreams and ensure quality completion of development items
• Participate in pre-sales activities including shaping Google Cloud data modernization approaches, defining technical solution options, supporting estimates and delivery plans, and partnering with business development teams to address prospect challenges

Requirements

You must be within commutable distance to one of Slalom's listed office locations.

Qualifications

• Broad architecture experience
• Deep expertise in Google Cloud data engineering technologies
• A curious mindset towards client engagements
• A hunger for fearless experimentation in new and interesting ways to meet clients' data challenges
• Self-starter with the ability to break down large problems into smaller ones
• Passionate about Google Cloud and modern data architecture
• Continuous expansion of skills through hands-on delivery, certifications, and collaboration across the Google COE
• Experience migrating from AWS, Azure, Teradata, Hadoop, Informatica, Snowflake, or legacy data platforms to Google Cloud

Skills

• Google Cloud Platform (GCP) solution architecture and enterprise data platform design
• Google BigQuery, BigLake, Cloud Storage, and Cloud SQL
• Dataproc, Apache Spark, and distributed data processing patterns
• Pub/Sub, Dataflow, Apache Kafka, and event-driven architectures
• Cloud Composer / Managed Airflow, dbt, and modern data workflow orchestration
• Google Cloud Professional Data Engineer certification
• Google Cloud Professional Cloud Architect certification
• Looker, Looker Studio, and semantic modeling
• Vertex AI, MLOps, and AI-enabled data architecture
• Experience with Gemini Enterprise, Firestore, Bigtable, Spanner, MongoDB, and cloud-native database design
• Google Kubernetes Engine (GKE), Cloud Run, CI/CD, DevOps, and Infrastructure as Code

Benefits

Slalom offers a comprehensive benefits package including meaningful time off, paid holidays, parental leave, 401(k) with a match, subsidized health, dental, and vision coverage, adoption and fertility assistance, and discounted home, auto, and pet insurance. Additionally, there is a yearly $350 reimbursement account for well-being-related expenses. Slalom is committed to fair and equitable compensation practices and provides reasonable accommodations for candidates during the interview process.

Pay

The targeted base salary pay range is $115k-$146k. 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.

Schedule

We are currently hiring at the following levels and targeted base pay salary ranges:

• Level X: Targeted base salary pay range is $115k-$146k