Senior Data Architect (Snowflake / Databricks / GCP)

Company Description

ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions.

We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement.

Job Overview

We are looking for a highly experienced Data Architect with strong expertise across Snowflake, Databricks, and GCP to design and lead enterprise-scale data platforms.

The ideal candidate should have deep experience in data architecture, lakehouse/data warehouse design, and cloud-based data solutions, along with the ability to drive end-to-end data strategy and implementation.

Immediate joiners are strongly preferred

Key Responsibilities

Data Architecture & Strategy

• Design and implement enterprise data architecture across Snowflake, Databricks, and GCP
• Define data platform strategy, governance, and best practices
• Build scalable data lakehouse and data warehouse architectures

Data Platform Engineering

• Architect and optimize Snowflake data warehouse solutions
• Design Databricks-based Lakehouse architectures (Delta Lake, Spark)
• Build and manage GCP-based data platforms (BigQuery, Dataproc, etc.)

Data Pipelines & Integration

• Design ETL/ELT pipelines for batch and real-time processing
• Integrate data from multiple enterprise systems and external sources
• Ensure high performance, scalability, and reliability

Governance & Security

• Implement data governance, security, and access controls
• Define data quality frameworks and compliance standards

Leadership & Stakeholder Management

• Provide technical leadership and architectural guidance
• Collaborate with business, analytics, and engineering teams
• Translate business requirements into scalable technical solutions

Required Skills (Mandatory)

• Strong experience in Snowflake Data Warehouse
• Hands-on expertise in Databricks (Spark, Delta Lake)
• Strong experience with GCP data services (BigQuery, Dataproc, etc.)
• Expertise in data architecture, data modeling, and data warehousing
• Strong knowledge of ETL/ELT and large-scale data pipelines
• Experience with distributed data processing systems
• Strong programming skills in Python / PySpark / SQL
• Experience in cloud data platform design and optimization