Lead Systems & Data Architect

Say hello to opportunities. It’s not every day that you consider starting a new career. We’re Ring Central, and we’re happy that someone as talented as you is considering this role. First, a little about us: we’re a $2billion annual revenue company with double‑digit Annual Recurring Revenue and a $93billion market opportunity in UCaaS, Contact Center and AI‑powered adjacencies. We invest more than $250million annually to ensure our AI‑enabled technology and platforms meet or exceed the needs of our customers.

This is where your skills come in.

Architecture & Strategy:

• Define and own a cloud‑native, enterprise‑scale data architecture that supports batch, streaming, analytics, and AI/ML workloads.
• Develop and execute a multi‑year data platform modernization roadmap, balancing delivery speed, risk, cost efficiency, and business continuity.
• Drive architectural decisions across Snowflake, Databricks, and cloud‑native services, ensuring scalability, security, and performance.

Platform & Engineering Leadership:

• Partner closely with data engineering, analytics, infrastructure, security, and data science teams to design scalable ingestion, transformation, and serving layers.
• Define standards and best practices for data ingestion, transformation, integration, and data modeling across diverse structured and semi‑structured sources.
• Establish robust data governance, quality, lineage, and access control frameworks aligned with enterprise and regulatory needs.
• Optimize performance and cost efficiency across Snowflake and Databricks environments, including workload isolation, query optimization, and storage strategies.

Dev Ops, Reliability & Security:

• Lead the adoption of Dev Ops, CI/CD, and Infrastructure as Code practices (e.g., Terraform) for data platforms.
• Define patterns for environment management, observability, disaster recovery, and security‑by‑design.
• Ensure the platform meets enterprise standards for data privacy, compliance, and resilience.

AI / ML & Future Readiness:

• Design the data foundation required for advanced analytics, ML, and LLM workloads, including feature stores, vector storage, and real‑time data access.
• Stay ahead of emerging trends in AI, ML, and data platforms, translating innovation into practical, production‑ready architectures.
• Influence the evolution toward lakehouse, data mesh, and data product‑oriented architectures where appropriate.

Leadership & Influence:

• Provide technical leadership and mentorship to senior data engineers and architects.
• Act as a trusted advisor to engineering leadership and business stakeholders.
• Clearly communicate complex architectural concepts to both technical and non‑technical audiences.

• 10+ years of experience in data architecture, data engineering, or platform engineering roles.
• Proven success leading large‑scale data platform migrations, including on‑prem data warehouses (e.g., Oracle, Teradata) to Snowflake, Hadoop ecosystems, and Databricks.
• Deep hands‑on expertise with SQL, Spark, and Python, and strong understanding of distributed data processing.
• Strong experience designing and operating data platforms on AWS, Azure, or GCP, including compute, storage, networking, and security.
• Solid background in data governance, metadata management, lineage, and cataloging (e.g., Purview, Collibra, Alation).
• Experience with real‑time and streaming architectures (Kafka, Kinesis, Pub/Sub) and orchestration tools (Airflow, dbt).
• Demonstrated ability to lead cross‑functional teams and complex migration programs.
• Exceptional communication skills and executive‑level presence.

• Snowflake, Databricks, or cloud provider certifications (AWS, Azure, GCP).
• Hands‑on experience building ML and AI pipelines on Databricks or similar platforms.
• Experience with multi‑petabyte‑scale data platforms.
• Familiarity with data mesh, lakehouse, and domain‑oriented data product concepts.
• Exposure to LLM pipelines, vector databases, or retrieval‑augmented generation (RAG) architectures.

• Comprehensive medical, dental, vision, disability, and life insurance.
• Health Savings Account (HSA) and Flexible Spending Accounts (FSAs).
  and commuter benefits.
• Voluntary…