Top Tech Jobs & Startup Jobs

Design and deliver end-to-end Microsoft-based data architecture solutions (Fabric, ADF, ADLS, Synapse). Define capacity, performance, security, governance, integration architecture, and data modeling standards.

Review and analyze AML/payment alerts, investigate suspicious transactions, document findings, escalate cases for further review, recommend procedural improvements, and collaborate with the compliance team to ensure regulatory adherence.

Support building and maintaining ETL/data pipelines in Azure/Databricks, prepare and transform large datasets, write SQL, create simple Python scripts, monitor data quality, troubleshoot basic issues, and collaborate on data analysis.

Design and deliver end-to-end Microsoft-based data architecture solutions (Fabric, ADF, ADLS, Synapse). Define capacity planning, performance optimization, governance, security frameworks, data modeling standards, and oversee system integrations to build scalable lakehouse and data warehouse platforms.

Support building and maintaining ETL data pipelines in Azure/Databricks, prepare and transform large datasets, write SQL, create simple Python processing scripts, monitor data quality, troubleshoot issues, and collaborate with the team on data analysis.

Design and deliver end-to-end Microsoft-based data architecture solutions including lakehouse and data warehouse patterns. Define capacity planning, performance optimization, data modeling standards, security and governance frameworks, and integration architecture. Support business initiatives and mentor teams to build a scalable data platform.

Lead and coordinate defensive cybersecurity operations: monitor, detect, and respond to incidents; manage SIEM/EDR/SOAR and other security tools; develop playbooks, policies, KPIs; mentor SOC team; perform technical investigations and continuous process improvement.

Investigate and analyze alerts for potential money laundering, document payment alerts, recommend procedural improvements, and escalate suspicious transactions for further review.

Design and deliver end-to-end data architecture on Microsoft platforms. Define capacity planning, performance optimization, data modeling standards, security and governance frameworks, and integration architecture to build scalable lakehouse and data warehouse solutions using Microsoft Fabric and Azure services.

Design and deliver end-to-end Microsoft-based data architecture solutions (Microsoft Fabric/Azure), define capacity and performance strategies, set data modeling and governance standards, design security and integration frameworks, and support scalable lakehouse/data warehouse platforms.