AWS Data Architect

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Job Description:

Position Summary:

We are seeking an experienced AWS Data Architect to design, build, and manage scalable enterprise data platforms leveraging AWS cloud technologies. The ideal candidate will possess extensive expertise in Data Lakehouse architectures, Data Warehousing, Data Engineering, Big Data technologies, and Cloud Data Migration . This role will be responsible for defining data architecture standards, ensuring data governance, and enabling advanced analytics and business intelligence across the organization.

Data Architecture & Strategy

Define and implement enterprise data architecture roadmap aligned with business objectives.

Design scalable Data Lakehouse and Data Warehouse solutions on AWS.

Establish data modeling standards, architecture frameworks, and best practices.

Develop data integration strategies for structured, semi-structured, and unstructured datasets.

Collaborate with business stakeholders, analytics teams, and IT leadership to deliver data-driven solutions.

AWS Data Platform Design

Architect end-to-end data solutions using AWS services

Design secure and high-performing cloud-native data platforms.

Optimize data storage, data processing, and query performance.

Data Lakehouse & Data Warehouse

Implement modern Lakehouse architectures using technologies such as: Databricks

Delta Lake

Apache Iceberg

Apache Hudi

Design dimensional and enterprise data warehouse models.

Create scalable ETL/ELT frameworks to support analytics and reporting requirements.

Enable real-time and batch data processing capabilities.

Data Governance & Security

Implement data governance, metadata management, lineage, and data quality frameworks.

Ensure compliance with security and regulatory requirements.

Define role-based access controls and data protection strategies.

Partner with cybersecurity teams to maintain data security standards.

Data Integration & Engineering

Design and oversee enterprise data pipelines.

Lead cloud migration initiatives from legacy on-premise platforms to AWS.

Integrate ERP, CRM, eCommerce, supply chain, finance, and third-party systems.

Drive automation and CI/CD practices for data platform deployments.

Required Qualifications

Bachelor's or master's degree in engineering, or related field.

10+ years of experience in Data Architecture, Data Engineering, or Data Platform Management.

5+ years of experience in AWS cloud-based data solutions.

Strong expertise in: Data Lakehouse Architecture

Enterprise Data Warehouse Design

Data Modeling (Dimensional & Data Vault)

ETL/ELT Frameworks

Big Data Technologies

Hands-on experience with SQL and Python.

Strong understanding of cloud-native architecture principles.

Required Technical Skills

AWS

Amazon S3

AWS Glue

AWS Lake Formation

Amazon Redshift

Amazon Athena

Amazon EMR

AWS Lambda

Amazon Kinesis

AWS IAM

AWS CloudFormation/Terraform

Databases & Warehousing

Snowflake

Amazon Redshift

PostgreSQL

SQL Server

Oracle

MySQL

Big Data & Lakehouse

Databricks

Delta Lake

Apache Spark

Apache Iceberg

Apache Hudi

Preferred Certifications

AWS Certified Solutions Architect – Professional

AWS Certified Data Engineer – Associate

AWS Certified Data Analytics – Specialty

Databricks Certified Data Engineer

Snowflake Certification

Ideal Candidate: An AWS Data Architect who can lead data modernization initiatives, drive Data Lakehouse adoption, and deliver scalable, secure, and high-performance analytics platforms supporting business growth and digital transformation.