Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape enterprise data strategy and build scalable data platforms using cutting-edge technologies like AWS and Snowflake. You'll thrive here if you have a strong background in data architecture, modeling, and a passion for driving data-driven innovation.

Quick Overview

Work Type

Hybrid

Level

Mid Senior

Job Description

Job Description

Must Have Technical/Functional Skills

Required Technical Skills

Cloud & Data Platforms

AWS

Snowflake

Data Lake Architecture

Data Warehouse Architecture

Cloud-Native Data Platforms

Architecture & Modeling

Enterprise Data Architecture

Data Modeling (Conceptual, Logical, Physical)

Data Product Design

Master Data Management (MDM)

Customer 360 Architecture

Real-Time Integration Patterns

Data Engineering Ecosystem

dbt

AWS Glue

Fivetran

Python

SQL

Roles & Responsibilities

We are seeking an experienced Data Architect to lead enterprise data modernization initiatives, define target-state architecture, and establish scalable data platforms supporting analytics, AI, governance, and business intelligence. The ideal candidate will possess deep expertise in AWS, Snowflake, Data Warehousing, Data Products, Data Governance, and Enterprise Data Architecture.

This role will partner with business stakeholders, data engineers, solution architects, and leadership teams to drive enterprise-wide data strategy and implementation.

Key Responsibilities

Enterprise Data Strategy

Define and maintain enterprise data architecture standards and principles.

Develop current-state, transitional, and target-state data architecture roadmaps.

Establish strategies for data modernization, cloud adoption, and platform consolidation.

Drive enterprise data product adoption and reusable data asset frameworks.

Architecture & Design

Design scalable cloud-native data platform architectures.

Define data ingestion, transformation, storage, and consumption patterns.

Architect data lakes, data warehouses, and data marts.

Establish reference architectures for analytics, AI, and operational reporting.

Data Governance & Quality

Define enterprise data governance standards and best practices.

Lead metadata, lineage, and data catalog initiatives.

Establish data quality frameworks and governance controls.

Ensure compliance with security, privacy, and regulatory requirements.

Stakeholder Engagement

Work directly with business leaders to understa nd strategic data needs.

Translate business requirements into scalable data architecture solutions.

Provide architecture guidance to engineering and delivery teams.

Lead architecture reviews and technology evaluations.

Skills

SQL

AWS

Snowflake

Python

dbt

Senior Data Engineer

Why This Role Stands Out

Quick Overview

Job Description

Skills

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