AWS Data Architect

Crew Kraftorz LLP; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Crew Kraftorz LLP in Hyderabad seeks a highly skilled AWS Data Architect to design scalable, secure data architecture on AWS, including data lakes, data warehouses, and robust pipelines.

You will ensure governance and compliance, collaborate with data engineers and analysts, and optimize performance and cost while adopting best practices in cloud data platforms.

Qualifications

• 10+ years of data engineering or architecture experience with AWS.
• Bachelor\'s or Master\'s in CS/Engineering.
• Experience designing data lakes, warehouses, and ETL/ELT pipelines on AWS.

Responsibilities

• Design and implement AWS-based data architecture and scalable solutions.
• Build and manage ETL/ELT pipelines and workflows for large-scale data processing.
• Create and optimize data lakes and data warehouses for performance and cost-efficiency.
• Define and enforce data governance and security policies (IAM, encryption, cataloging).
• Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions.
• Evaluate new tools, technologies, and best practices for continuous improvement.
• Ensure data quality, performance tuning, and optimization across data platforms.

Skills

AWS data services

Data modeling

ETL/ELT pipelines

Data security & governance

Problem solving

Communication skills

Cross-functional collaboration

Education

Bachelor’s/Master’s in CS/Engineering

Tools

EMR

Kinesis

BI tools

Job description

We are seeking a highly skilled AWS Data Architect to design and implement scalable, secure, and high-performance data architecture solutions on AWS. You will build and manage data lakes, data warehouses, and robust data pipelines while ensuring governance, security, and compliance standards. This role is perfect for professionals passionate about leveraging AWS to transform data into actionable insights for business stakeholders.

Requirements

Location: Hyderabad

Experience: 10+ years

Notice Period: Immediate

Department: Data Engineering & Cloud Architecture

Qualification: Bachelor’s/Master’s in Computer Science, Engineering, or related field

Must-Have Skills

• Hands-on experience with AWS data services (S3, Redshift, Glue, Lake Formation, Athena, Lambda)
• Expertise in data modeling, warehousing, and big data architecture
• Experience with ETL/ELT workflows and pipeline frameworks (Glue, Spark, AWS Data Pipeline)
• Knowledge of data security, governance, and compliance in cloud environments
• Strong problem-solving skills and attention to detail
• Excellent verbal and written communication skills
• Ability to collaborate effectively with cross-functional teams

Key Responsibilities

• Design and implement AWS-based data architecture and scalable solutions
• Build and manage ETL/ELT pipelines and workflows for large-scale data processing
• Create and optimize data lakes and data warehouses for performance and cost-efficiency
• Define and enforce data governance and security policies (IAM, encryption, cataloging)
• Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions
• Evaluate new tools, technologies, and best practices for continuous improvement
• Ensure data quality, performance tuning, and optimization across data platforms

Good to Have

• AWS Certified Data Analytics – Specialty or AWS Solutions Architect Certification
• Experience in performance tuning for large-scale datasets
• Exposure to additional big data tools and frameworks (EMR, Kinesis, etc.)
• Familiarity with BI tools for reporting and analytics

About the Company

Join a fast-growing, innovation-led tech company that’s redefining how enterprises transform digitally. A place where your skills don’t just add up - they stand out.