Google Data Architect

About the role

Slalom's Google Center of Excellence (COE) focuses on enhancing intelligence in products, building robust data and AI systems, and creating innovative data products. Within Data Engineering, we assist clients in building world-class products through efficient use of various Google Cloud services.

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.
• Help clients migrate and modernize data estates, implement real-time and batch data platforms, enable governed analytics, and accelerate AI-ready data foundations.
• Lead the analysis, architecture, design, and delivery of the client’s next generation Google Cloud Data Platform Solution.
• Leverage communication skills to clearly describe the trade-offs, benefits, risks, and implementation path of your solution design and drive the combined Slalom and client team to consensus.
• Break down complex architecture into deliverable workstreams and ensure quality completion of development items, ensuring they support the technical solution you 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 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.
• 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, 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, with a targeted base salary pay range of $115k-$146k and an annual discretionary bonus. Actual compensation will depend on an individual’s skills, experience, qualifications, location, and other relevant factors.

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.

Schedule

This role requires a hybrid work environment, with expectations to be in-person with Slalom teams and clients as needed.