Data Architect - Cloud Data Platform

Description :

We are seeking a highly experienced and strategic Data Architect to design, build, and govern scalable enterprise data platforms and modern cloud-based data ecosystems. The ideal candidate should possess strong expertise in Data Architecture, Data Modeling, Lakehouse Architecture, Data Governance, and Cloud Data Platforms.

This role will be responsible for defining enterprise-wide data strategies, architecting scalable data solutions, enabling advanced analytics capabilities, and driving data modernization initiatives across the organization.

Key Responsibilities :

- Design and implement enterprise-scale data architecture solutions aligned with business and

technology objectives

Define and establish modern data platform architecture using :

1.Data Lake

2. Data Warehouse

3.Lakehouse Architecture

4. Cloud-native Data Platforms

- Develop scalable and secure data models for enterprise analytics, reporting, and operational systems

- Create conceptual, logical, and physical data models for structured and unstructured datasets

- Architect robust data integration frameworks for batch, real-time, and streaming data pipelines

- Define enterprise data governance frameworks, metadata management, data lineage, and data quality standards

- Collaborate with business stakeholders, engineering teams, and analytics teams to understand data

requirements and translate them into scalable architectural solutions

- Design and optimize cloud-based data platforms for high availability, scalability, reliability, and performance

- Establish best practices for data architecture, data engineering, security, compliance, and governance

- Drive enterprise data transformation and modernization initiatives

- Evaluate and recommend modern technologies, frameworks, and tools for enterprise data ecosystems

- Lead data platform migration initiatives from legacy systems to modern cloud architectures

- Ensure data security, privacy, and compliance standards are maintained across platforms

- Define data lifecycle management and archival strategies

- Work closely with Data Engineers, Data Scientists, BI teams, and DevOps teams for seamless data delivery and platform optimization

- Provide technical leadership, architectural guidance, and mentorship to engineering teams

- Create and maintain architecture documentation, standards, frameworks, and technical roadmaps

Required Skills & Qualifications :

- 13-17 years of experience in Data Architecture, Enterprise Data Management, or Cloud Data Platform

Engineering

Strong expertise in :

- Data Architecture

- Data Modeling

- Data Governance

- Data Integration

- Lakehouse Architecture

- Cloud Data Platforms

- Hands-on experience in designing enterprise-scale Data Lakes, Data Warehouses, and Lakehouse solutions

- Strong understanding of modern cloud platforms such as :

AWS :

- Experience designing scalable ETL/ELT and data integration solutions

- Strong understanding of distributed data processing frameworks and big data ecosystems

- Expertise in SQL and data architecture best practices

- Experience with real-time data streaming and event-driven architectures is preferred

- Familiarity with API integrations and microservices-based data ecosystems

- Strong understanding of security, compliance, and enterprise data privacy standards

- Excellent analytical, problem-solving, and system design capabilities

Preferred Skills :

Experience with :

- Apache Spark

- Kafka

- Airflow

- Hadoop Ecosystem

- dbt

- Terraform

- Exposure to AI/ML data platforms and advanced analytics ecosystems

- Familiarity with Master Data Management (MDM) and Data Catalog tools

- Knowledge of DevOps and DataOps practices

- Understanding of FinOps and cloud cost optimization strategies

Educational Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field

- Cloud or Data Architecture certifications are preferred

Key Competencies :

- Strong leadership and stakeholder management skills

- Strategic thinking with strong execution capabilities

- Excellent communication and presentation abilities

- Strong ownership and accountability mindset

- Ability to drive enterprise-wide transformation initiatives

- Collaborative and cross-functional working approach

- Strong decision-making and architectural governance skills