Data Architect

We are seeking a highly skilled Data Architect to lead the design, development, and optimization of our retail data ecosystem. This role will be instrumental in shaping our data strategy, enabling advanced analytics, and supporting business intelligence across finance, merchandising, supply chain, marketing, and customer experience domains. The ideal candidate will have deep expertise in cloud data platforms (Snowflake), data transformation tools (DBT), and business intelligence platforms like M

Data Architecture & Engineering Design and architect scalable, high-performance ETL/ELT data pipelines using PySpark, Python, and Spark clusters.Develop data models and frameworks aligned with telecom processes such as buyflow, billing, usage, customer management, and order processing.Build, optimize, and monitor pipelines on Databricks (Delta Lake, Workflows, Cluster configuration).Define and enforce ETL standards, data quality rules, and engineering best practices.Domain & Business Integration

We are seeking a strong, handson Data Engineer to join a fastmoving Cybersecurity organization focused on threat detection, correlation, and automated remediation. This role is heavily dataengineering focused (approximately 80% Data Engineering / 20% ML exposure) and requires deep fundamentals, not surfacelevel experience. This team works with largescale, highvolume data pipelines that support nearrealtime security analytics and GenAIdriven tools used by Cyber Operations teams and executive lead