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Data Architect

19 days ago44 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Key Responsibilities:
Data Architecture and Engineering:
  • Design and implement enterprise-grade data architectures across Azure, AWS, and hybrid environments
  • Develop scalable data pipelines and ETL/ELT solutions using Azure Databricks, ADF, Synapse, and Snowflake
  • Define data models, data flow diagrams, and reference architectures
  • Ensure best practices for data governance, data quality, and metadata management
Cloud and Platform Expertise:
  • Architect end-to-end data solutions on Azure (Synapse, ADF, Databricks), AWS (Redshift, Glue, S3, Lambda), and Snowflake
  • Optimize data storage, compute, and cost across cloud platforms
  • Evaluate cloud-native tools and recommend fit-for-purpose solutions
Presales and Solutioning:
  • Work closely with sales teams to support presales activities, including solutioning, estimation, and proposal building
  • Conduct technical workshops, discovery sessions, and requirement analysis with prospective clients
  • Prepare and deliver compelling technical presentations, architecture diagrams, and solution roadmaps
POCs and Innovation:
  • Lead and execute Proof of Concepts (POCs) to demonstrate solution feasibility
  • Build prototypes using Databricks, Snowflake, Synapse, or AWS components to validate business use cases
  • Stay updated with new features and innovations across cloud platforms
Client Interaction and Stakeholder Management:
  • Engage directly with clients to understand business needs and translate them into technical architectures
  • Act as a trusted advisor to customers on data strategy, cloud adoption, and platform modernization
  • Collaborate with cross-functional teams, including delivery, product, business analysts, and leadership
Required Skills and Experience:
  • 10+ years of experience in data engineering, data architecture, or cloud data platforms
Hands-on expertise in:
  • Azure Databricks (Python/Spark/Delta Lake)
  • Azure Synapse Analytics
  • Azure Data Factory (ADF)
  • Snowflake (SQL, Snowpipe, Streams, and Tasks)
  • AWS Data Stack (S3, Redshift, Glue, Lambda, EMR)
  • Strong understanding of data warehousing, data lakes, lakehouse architecture, and ETL/ELT methodologies
  • Excellent SQL, Spark, and Python skills
  • Experience in presales, RFP responses, client workshops, and technical solutioning
  • Strong communication and presentation skills
Preferred Qualifications
  • Certifications in Azure / AWS / Snowflake
  • Experience leading large-scale cloud migration or modernization projects
  • Knowledge of data governance tools (Purview, Collibra) is a plus

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Executive Placements
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