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, and innovative data solutions. Our focus includes building world-class products through efficient data engineering, leveraging Google Cloud services like BigQuery, Dataplex, Dataflow, and more.

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

As a Data Architect in Slalom's Google COE, you will bring broad architecture experience, deep expertise in Google Cloud data engineering technologies, a curious mindset to client engagements, and a hunger for fearless experimentation in new and interesting ways to meet our clients' most pressing data challenges.

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
• 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 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 and offers a targeted base salary pay range of $115k-$146k.

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

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