Distinguished Data Architect

April 9

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Calix

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Calix is a company that provides a comprehensive broadband services platform for broadband service providers (BSPs) of all types. They aim to simplify, innovate, and grow BSPs through their Calix Broadband Platform, managed services like SmartLife™, SmartHome™, and SmartBiz™, as well as various software solutions. Calix's offerings cover network security, smart home automation, customer support, and marketing, among other areas. They enable their customers to improve network operations, engage subscribers, expand into new markets, and enhance service delivery through their intelligent connectivity solutions, software, and analytics. The company is dedicated to ensuring simple, efficient, and robust broadband services across communities, including telcos, cable operators, and municipalities.

GPON VDSL2 ADSL2+ Metro-Ethernet VoIP IPTV FTTH MSAP MSAN H.248 GR-303 10GE

1001 - 5000 employees

Founded 2000

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 $50M Venture Round on 2009-08

📋 Description

• Understand Calix solutions, platforms and data infrastructure to help develop the right strategy and design a comprehensive data platform architecture supporting operational and analytical use cases of Calix Cloud. • Lead the design of a robust data architecture that guides data modeling, integration, processing, and delivery standards enabling modern data product development. • Collaborate with data scientists, analysts, and cross functional teams to design cohesive data models, database schemas and data storage solutions, consumption strategies and patterns. • Develop standards for Data governance and implementation of various strategic data architecture initiatives around master data management, data quality, data management policies /standards and privacy. • Drive optimizations for performance and cost around storage, processing, and consumption needs. • Work closely with Cloud product owners to understand, analyze product requirements, provide feedback, and deliver a complete solution. • Guide technical discussions within the Engineering group and make technical recommendations. • Technical leadership of software design to meet the requirements of service stability, reliability, scalability, and security. • Guide architecture testing for large scale data ingestion and transformations. • Actively participate and keep updated on the latest developments and technologies through various forums and seek to bring them to the team and apply in daily work.

🎯 Requirements

• 15+ years of proven experience in modern data engineering, broader data landscape experience and exposure and solid software engineering experience. • 10+ years of development experience performing Data Governance, Data modeling, master data management and building ETL/data pipeline implementations. • Experience in evaluating, proposing the "right fit" technologies and in strategizing and implementing data platform transformations/migrations. • Excellent problem-solving experience in large scale complex data warehousing environment. • Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows. • Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (BigQuery, Athena, Presto, Dremio), data schemas, optimization of queries and associated concepts for building optimized solutions at scale. • Working experience with the cloud-based data warehouse like (BigQuery, RedShift, Snowflake etc.). • Working experience integrating with BI frameworks like Qlik, ThoughtSpot, Looker, Tableau etc. • Hands on experience in implementing data pipeline for data ingestion and transformation to support BI analytics, and ML pipelines. • Strong proficiency of the following programming languages or similar - Scala, Python, Go.