AWS Architects, Indore

Role Summary We are looking for a Principal AWS Solution Architect– Data&Analytics to serve as the technical authority and strategic leader for enterprise data platforms on AWS. This role is responsible for defining the long-term data&analytics architecture vision, establishing organization-wide standards, and guiding multiple teams and programs to deliver scalable, secure, and business-critical analytics solutions. This is a hands-on architecture leadership role, combining deep technical expertise with executive-level influence.Role Scope&Impact At the Principal level, you will: Own enterprise-wide data&analytics architecture strategy on AWS Act as the final technical escalation point for complex data challenges Influence technology roadmap, investment decisions, and platform modernization Mentor Senior/Lead Architects and raise the overall architectural bar Partner closely with CIO/CTO, Data Office, Security, and Product leadershipKey Outcomes (Success Measures) Within 12–18 months, you will: Define and institutionalize a reference architecture for modern data platforms (lakehouse, streaming, analytics, ML-ready). Enable multiple business domains to adopt self-service, governed analytics at scale. Improve platform reliability, security posture, and cost efficiency across AWS data workloads.Standardize architecture patterns, guardrails, and best practices adopted across teams. Reduce delivery risk by proactively addressing architectural debt and scalability limits. Responsibilities Enterprise Architecture&Strategy Define the enterprise data&analytics architecture vision aligned to business strategy. Own architectural standards for: Data lakes&lakehouse platforms Warehousing&analytical querying Streaming&real-time analytics Metadata, governance, and data sharing Evaluate and recommend build vs buy decisions and new AWS services or ecosystem tools. AWS Data Platform Architecture Design and govern solutions using AWS services such as: Storage&Lake: Amazon S3, AWS Lake Formation, Glue Data Catalog Processing: AWS Glue, EMR (Spark), Lambda, Step Functions Analytics: Amazon Athena, Amazon Redshift (incl. Spectrum) Streaming: Amazon Kinesis, MSK (Kafka) Define best practices for: File formats (Parquet/ORC), partitioning, compressionTable formats (Apache Iceberg / Hudi / Delta Lake, where applicable) Data modeling (dimensional, data vault, domain-oriented models) Security, Governance&Compliance Establish enterprise-grade security architecture: IAM strategy, fine-grained data access, encryption with KMS Network isolation, private connectivity, cross-account patterns Drive governance frameworks for: Data cataloging, lineage, classification, and access control Regulatory compliance (PII, financial, or industry-specific constraints)Partner with Security and Risk teams to ensure alignment with enterprise policies. Reliability, Performance&Cost Excellence Embed AWS Well-Architected Framework principles into all data solutions. Lead performance optimization and cost management (FinOps) initiatives. Define observability standards for data pipelines and analytics workloads. Technical Leadership&Mentorship Serve as principal technical reviewer for major initiatives and programs. Mentor architects and senior engineers; coach teams on architectural thinking. Drive architecture communities of practice, design forums, and knowledge sharing. Stakeholder Engagement Communicate complex architectural concepts to executive and non-technical audiences.Translate business objectives into scalable, future-proof data architectures. Influence roadmap prioritization and investment decisions. Required Qualifications (Must-Have) 12+ years in data, analytics, or platform engineering; 8+ years on AWS. Proven experience leading enterprise-scale data&analytics architectures. Deep hands-on expertise with AWS data services: S3, Lake Formation, Glue, Athena, Redshift, EMR, Kinesis/MSK Strong understanding of: Distributed systems and large-scale data processing Batch and streaming architectures Data governance, quality, and metadata managementProficiency in SQL and Python / Scala / Java (hands-on design and review). Strong experience with Infrastructure as Code (Terraform, CloudFormation, or CDK). Demonstrated ability to influence without authority and lead across org boundaries. Exceptional communication and architectural storytelling skills.Preferred Qualifications (Nice-to-Have) AWS Certified Solutions Architect– Professional AWS Certified Data Analytics – Specialty Experience with: Apache Iceberg, Hudi, Delta Lake dbt, Airflow/MWAA, CI/CD for data platforms ML/AI enablement on AWS (SageMaker, feature stores) Experience in regulated or large enterprise environments.Behavioral Expectations (Principal Bar) Thinks years ahead, not just project-to-project Makes sound trade-offs balancing speed, scale, cost, and risk Raises the technical bar across the organization Comfortable challenging assumptions and driving change Acts as a steward of long-term platform health