Senior Data Architect

Senior Data Architect

Experience: 8+ Years

Location: Remote / Hybrid (as applicable)

Overview

We are seeking an experienced Data Architect to design, modernize, and optimize enterprise-scale data platforms. The ideal candidate will have deep expertise in modern cloud data architectures, large-scale data migration programs, and data warehousing technologies, with strong hands-on experience in Snowflake, Databricks, Azure Synapse Analytics, and Microsoft Fabric.

The candidate will play a key role in defining data strategy, architecting scalable solutions, and leading migration initiatives from legacy and traditional data platforms to modern cloud-native ecosystems.

Key Responsibilities

• Design and implement enterprise data architectures for analytics, reporting, and AI/ML workloads.

• Lead data platform modernization and migration initiatives.

• Define data models, governance standards, security frameworks, and best practices.

• Architect scalable batch and real-time data processing pipelines.

• Collaborate with business stakeholders, engineering teams, and solution architects to translate business requirements into technical solutions.

• Evaluate and recommend appropriate data platform technologies based on business and technical requirements.

• Drive performance optimization, cost optimization, and scalability improvements across data platforms.

• Provide technical leadership and mentorship to data engineering teams.

Required Skills

Data Platforms

• Strong hands-on experience with Snowflake and/or Databricks.

• Experience designing Lakehouse and Data Warehouse architectures.

Cloud & Analytics

• Strong experience with Microsoft Azure data services:

• Azure Synapse Analytics
• Azure Data Factory
• Azure Data Lake Storage (ADLS)
• Microsoft Fabric

Migration Experience

• Proven experience leading or architecting migrations such as:

• Azure Synapse → Snowflake
• Azure Synapse → Databricks
• Azure Synapse → Microsoft Fabric

• Experience with migration strategy, data validation, performance tuning, and cutover planning.

Data Engineering

• Advanced SQL

• Spark / PySpark

• ETL / ELT Architecture

• Data Modeling (Star Schema, Snowflake Schema, Data Vault)

• Data Governance and Metadata Management

Architecture & Leadership

• Solution Architecture and Design Documentation

• Enterprise Data Strategy

• Stakeholder Management

• Technical Leadership and Mentoring

Preferred Qualifications

• Experience with Microsoft Fabric architecture and implementation.

• Experience with Lakehouse architecture patterns.

• Knowledge of data governance frameworks and security best practices.

• Exposure to AI/ML data platforms and modern analytics ecosystems.

• Azure, Databricks, or Snowflake certifications.

Nice to Have

• Experience with Kafka, Event Hubs, or streaming technologies.

• Experience with Power BI and enterprise reporting solutions.

• Experience working on large-scale enterprise transformation programs.

What We Are Looking For

• A highly skilled Data Architect who can not only design modern data platforms but also lead enterprise migration initiatives from Azure Synapse to Snowflake, Databricks, or Microsoft Fabric while ensuring scalability, governance, security, and business alignment.