AWS Data Architect
- WinWire
- 12 - 18 years
- Hyderabad
- 3 days ago
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Job Description
Role & responsibilities
1). 12+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation
2). 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns & SQL development and advanced data modeling
3). Designing and developing ETL/ELT pipelines (AWS Glue, and orchestration tools (Airflow or equivalent))
4). 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers
5). 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI/CD
6). Strong understanding of Data Governance, Security & Compliance, including encryption, data masking, metadata management, and access control frameworks
Preferred candidate profile
Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategy.
Architect, develop, and oversee implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation.
Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimization.
Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needs.
Translate complex business requirements into scalable technical architecture and actionable data solutions.
Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasets.
Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystem.
Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platforms.
Review solution designs and code to ensure adherence to architectural standards, scalability principles, and best practices.
Collaborate with product teams, and leadership to align data strategy with organizational objectives.
Drive modernization initiatives including migration from legacy/on-prem systems to AWS cloud environments.
Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectively.
Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks.
Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilities.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: WinWireLocation(s): Hyderabad
Keyskills: Pyspark AWS Glue Amazon Redshift Kinesis Tableau ETL Athena Python SQL
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WinWire
Winwire Technologies India Pvt. Ltd. About WinWire: WinWire Technologies is a specialized IT solutions company focused on making information actionable for the enterprises. We help business and technology leaders achieve an 'on-the-move' business environment by leveraging pre-built collaborat...
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