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Data Architect (AWS, Medalliion Architecture)
Data Architect (AWS, Medalliion Architecture)
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Data Architect (AWS, Medalliion Architecture)

tabbasum shaikh's profile picture
Posted by tabbasum shaikh
8 - 12 yrs
₹24L - ₹35L / yr
Bengaluru (Bangalore), Mumbai, Hyderabad, Gurugram
Skills
Data Architect
AWS
Medallion Architecture
Analytics Transformation

Role & Responsibilities

  • Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
  • Design atomic star schema data models (fact and dimension tables) across multiple business domains
  • Define and implement aggregation and KPI layers aligned to business reporting requirements
  • Establish data modelling standards, naming conventions, and design patterns across teams
  • Ensure alignment with enterprise data strategy and roadmap
  • Translate business processes into scalable and reusable data models
  • Write and review SQL, Python, and Spark code for pipelines and transformations
  • Build and validate data models in Snowflake or Databricks
  • Deliver pipelines using AWS services (S3, Glue, Athena)
  • Perform data reconciliation and validation across layers (source → curated → BI)
  • Ensure data quality, consistency, and integrity across the pipeline
  • Own end-to-end SDLC (requirements → design → build → test → release → operate)
  • Lead and unblock data engineers and analysts on day-to-day delivery
  • Identify blockers, dependencies, and risks early, and propose solutions
  • Align delivery with programme roadmap and milestones
  • Track execution using Jira and maintain documentation in Confluence
  • Gather and validate requirements across multiple business domains
  • Translate business requirements into technical designs and data models
  • Communicate architecture decisions clearly to non-technical stakeholders
  • Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

  • Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
  • Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
  • Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
  • Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
  • Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
  • Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
  • Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
  • Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
  • Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
  • Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
  • Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
  • Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage


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About TalentXO

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Profitable

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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