Job Title: AWS Data Architect (Consulting & Presales)

Location: Hyderabad (Onsite)

Employment Type: Full-Time

Experience: 14–20 Years

Preference: Immediate Joiners or Candidates with Short Notice Period

About the Role

We are seeking a seasoned AWS Data Architect with strong technology consulting and presales consulting expertise to design, modernize, and optimize enterprise-scale cloud data platforms. The ideal candidate will combine deep technical knowledge with the ability to engage clients, conduct requirement workshops, deliver solution presentations, and support presales activities for Cloud Data Engineering initiatives.

Key Responsibilities

- Lead and mentor data engineering teams, providing technical guidance and architectural governance.
- Partner with sales and business teams to support presales engagements, including RFP responses, solution demos, and client presentations.
- Conduct architecture assessments, gap analyses, and modernization roadmaps for enterprise clients.
- Design, implement, and maintain scalable data pipelines using Python, Airflow, and AWS services (S3, Glue, EMR, Redshift).
- Architect and modernize Data Lakes, Data Warehouses, and Analytics platforms on AWS.
- Implement real-time data ingestion and streaming solutions using Kafka, SQS, and EventBridge.




- Drive integration initiatives using Fivetran, APIs, AppFlow, and other enterprise tools.
- Ensure data governance, compliance, and tagging across platforms.
- Evaluate AWS native services against alternatives such as Databricks, Snowflake, Informatica, and Kafka, providing trade-off analysis and consulting recommendations.
- Collaborate with stakeholders to gather requirements, conduct workshops, and deliver consulting-led solutions that align with business outcomes.

Required Skills & Expertise

- Programming & Frameworks: Python, SQL, SparkSQL, Airflow, Terraform (CDK for Python), Apache Iceberg format.
- AWS Cloud Services: EMR, Managed Apache Airflow, Lake Formation, Aurora, RDS, S3, Athena.
- Integration & Tools: Fivetran (ETL), APIs, GitHub (Code Repository), Harness (CI/CD).
- Data Concepts: Data Warehousing, Data Modelling, Governance, Tagging.
- Reporting Tools: Power BI, ThoughtSpot.
- Proven consulting experience with stakeholder management, requirement workshops, and architecture assessments.
- Robust presales consulting background: solutioning, client presentations, proposal support, and RFP responses in Cloud Data Engineering.

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