AWS Data Architect

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AWS Data Architect in India.

We are seeking a seasoned AWS Data Architect to drive the design, development, and optimization of enterprise-scale data platforms and analytics solutions. This role involves building robust data pipelines, cloud-based data lakes, lakehouses, and ML systems while ensuring governance, security, and high-quality data practices across the organization. The ideal candidate will provide technical leadership, mentor data engineering teams, and collaborate across multiple cloud environments, including AWS and Azure. This position is perfect for someone passionate about leveraging advanced cloud technologies to solve complex data challenges and deliver actionable insights at scale.

· Define and lead enterprise data architecture and cloud data strategy, focusing on AWS.

· Design, implement, and optimize scalable data lakes, lakehouses, data warehouses, streaming, and analytics platforms.

· Architect and maintain ETL/ELT pipelines, real-time data workflows, and ML systems.

· Drive multi-cloud (AWS + Azure) and hybrid data integration initiatives.

· Implement frameworks for data governance, security, metadata management, lineage, and data quality.

· Mentor and guide data engineering and data science teams on best practices and architectural standards.

· Collaborate with cross-functional teams to ensure data initiatives align with business objectives.

· years of experience in data architecture or engineering, with 5+ years on cloud platforms, primarily AWS.

· Strong expertise in AWS data stack, including S3, Glue, Redshift, Athena, EMR, Kinesis, and Lake Formation.

· Solid experience with data modeling approaches: dimensional modeling, Data Vault, and lakehouse architecture.

· Hands-on proficiency in Python, PySpark, SQL, and distributed systems such as Spark and Kafka.

· Experience with ML platforms, SageMaker, MLOps, and deployment of machine learning pipelines.

· Multi-cloud experience with AWS and Azure, including data migration and modernization.

· Mandatory Certifications: AWS Certified Data Analytics Specialty, AWS Certified Machine Learning Specialty, Azure Data Engineer Associate (DP-203).

· Nice to have: Additional AWS certifications (SA Pro, DevOps Pro), Azure DP-100, Databricks, Terraform, CloudFormation, experience with data mesh/fabric and governance platforms like Alation or Collibra.

· Competitive salary and performance-based incentives.

· Flexible remote working options.

· Exposure to cutting-edge cloud technologies and data platforms.

· Opportunity to lead and mentor high-performing data engineering teams.

· Continuous learning and professional growth through certifications and advanced projects.

· Collaborative, inclusive, and innovation-driven work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team.

Thank you for your interest

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