Data Architect -AWS Modernization
- Trianz
- 12 - 17 years
- Hyderabad
- 4 hours ago
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Job Description
Company Overview
Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, weve evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.
Were building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.
Role Summary
We are seeking an experienced Data Architect to lead the enterprise-wide modernization of our data infrastructure onto AWS. The role is strategic and hands-on, responsible for designing a multi-zone data architecture that enables seamless integration, analytics, and reporting while reducing operational overhead and vendor dependencies. The architect will serve as a bridge between business stakeholders, data engineers, and analysts to ensure a cloud-first, scalable, and governed data platform.
Key Responsibilities:
- Lead the design and implementation of a multi-zone AWS data architecture (Raw/Landing, Integration, Analytical, Reporting zones).
- Define and enforce enterprise data standards, data modeling conventions, and governance practices.
- Collaborate with business units to translate analytics and reporting requirements into scalable data solutions.
- Assess on-premises systems (Oracle, Redshift, PostgreSQL, Access) and plan their migration to AWS, optimizing for performance, cost, and reliability.
- Implement best practices for data security, access control, and compliance.
- Oversee data quality frameworks, ensuring consistency, accuracy, and traceability of metrics.
- Evaluate and integrate AWS-native and third-party tools to reduce operational complexity and vendor dependency.
- Mentor and guide data engineers and analysts on architecture best practices and data governance.
- Continuously monitor emerging AWS technologies and data trends to enhance the platforms capabilities.
Roles & Responsibilities:
- Conduct a comprehensive assessment of current on-premises and cloud data systems (Oracle, Redshift, PostgreSQL, Access).
- Identify data silos, tool fragmentation, inconsistencies, and operational challenges.
- Analyze existing data flows, reporting mechanisms, and metrics definitions.
- Engage with business stakeholders and technical teams to understand requirements, pain points, and strategic goals.
- Propose a multi-zone AWS data architecture (Raw/Landing, Integration, Analytical, Reporting zones) aligned with business needs.
- Recommend AWS services and tools for ingestion, transformation, storage, analytics, and reporting.
- Highlight data governance, security, and compliance requirements for the proposed architecture.
- Provide a roadmap and transition plan for moving from current systems to AWS-based architecture.
- Prepare documentation and presentations for executive and stakeholder review.
Required Skills & Experience:
- 12+ years in data architecture or related roles with enterprise-scale projects.
- Hands-on experience with AWS data services (S3, Glue, Redshift, Athena, Lake Formation, EMR).
- Strong knowledge of ETL/ELT processes, SQL, and data modeling techniques.
- Proven experience in cloud migration and multi-database environments.
- Strong understanding of data governance, security, and compliance frameworks.
- Excellent communication and stakeholder management skills.
Certifications
- AWS Certified Solutions Architect Professional (preferred)
- AWS Certified Data Analytics Specialty (highly desirable)
- Any other cloud/data certifications (e.g., Snowflake, GCP/Azure knowledge a plus)
Preferred / Nice-to-Have
- Experience with BI tools (Power BI, Tableau, Looker) and self-service analytics.
- Exposure to DevOps practices for data pipelines.
- Familiarity with big data frameworks (Spark, Hadoop) and AI/ML integration.
- Previous experience in cross-functional, global teams.
Impact: This role directly influences the organization ability to make data-driven decisions, reduces siloed operations, and ensures a scalable, modern data platform.
Location -Hyderabad, Bangalore
Timing : -1:00 PM to 10:00 PM IST
Why choose Trianz
- Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
- AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
- Global Impact: Shape transformation across continents. Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond.
- Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
- Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution.
Equal Employment Opportunity
Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veterans (except in those special circumstances permitted or mandated by law).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full timeContact Details:
Company: TrianzLocation(s): Hyderabad
Keyskills: Data modeling data security Cloud data governance Healthcare Oracle AWS Analytics SQL Data architecture
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