Google Data Architect

About the role

Slalom's Google Center of Excellence (COE) is dedicated to enhancing client digital transformation through intelligent product development, robust engineering systems, and innovative data products. Within Data Engineering, we focus on leveraging modern cloud-native architectures, Google Cloud services, and advanced analytics to build world-class products.

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.
• Collaborate with client technical teams to facilitate working design sessions and ensure the combined Slalom and client team reaches consensus on the solution design.
• Break down complex architecture into deliverable workstreams and ensure quality completion of development items that support the technical solution designed.
• 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. This role requires a hybrid work environment, with expectations to be in-person with Slalom teams and clients as needed.

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.
• Effective communicator with strong presentation and facilitation skills.
• 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 and paid holidays, parental leave, 401(k) with a match, highly 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, with a targeted base salary pay range of $115k-$146k and an annual discretionary bonus.

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

This role is a full-time position with a hybrid work environment, requiring occasional in-person meetings with clients and Slalom teams.