Lead Systems & Data Architect

Say hello to opportunities. It’s not every day that you consider starting a new career. We’re RingCentral, 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. What You’ll Do 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. DevOps, Reliability & Security: Lead the adoption of DevOps, 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. Required Qualifications 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. Nice to Have 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. What we offer Comprehensive medical, dental, vision, disability, and life insurance. Health Savings Account (HSA) and Flexible Spending Accounts (FSAs). and commuter benefits. Voluntary supplemental health coverage and life insurance. 401(k) match and ESPP. Paid time off and paid sick leave. Paid parental and pregnancy leave, family‑forming benefits (IVF, preservation, adoption, etc.). Emergency backup care for child, adult, or pets. Employee Assistance Program (EAP) with counseling sessions available 24/7. Free legal services that provide legal advice, document creation, and estate planning. Employee bonus referral program. Student loan refinancing assistance. 1:1 coaching, perks, and discounts program. EEO Statement RingCentral is an equal‑opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during the application and interview process. #J-18808-Ljbffr