Google Data Architect

About the role

Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight, and creating innovative data products. Within Data Engineering, we help customers build world-class products through effective use of various Google Cloud services.

Responsibilities

• Architect solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, Cloud Composer, and other Google Cloud services.
• Help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations.
• Understand the client’s current environment, technical challenges, business outcomes, and future-state data strategy.
• Facilitate working design sessions with Slalom and client technical teams to drive consensus on your solution design.
• 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 the Slalom's listed office locations.

Qualifications

• Broad architecture experience
• Deep expertise in Google Cloud data engineering technologies
• A curious mindset to 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
• Effective in sharing what you learn with others within your projects and in the broader Slalom community
• 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

Benefits

Slalom offers a comprehensive benefits package including meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. Additionally, there is a yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range is $115k-$146k. In addition, individuals may be eligible for an annual discretionary bonus. 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. We are committed to pay transparency and compliance with applicable laws.

Pay

The targeted base salary pay range is $115k-$146k. In addition, individuals may be eligible for an annual discretionary bonus. 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. We are committed to pay transparency and compliance with applicable laws.

Schedule

We are currently hiring for this role in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.