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Data Architect
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Key Responsibilities:
Data Architecture and Engineering:
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
- 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
- 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
- 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
- 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
- 10+ years of experience in data engineering, data architecture, or cloud data platforms
- 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
- Certifications in Azure / AWS / Snowflake
- Experience leading large-scale cloud migration or modernization projects
- Knowledge of data governance tools (Purview, Collibra) is a plus
https://www.executiveplacements.com/Jobs/D/Data-Architect-1268587-Job-Search-03-04-2026-10-34-38-AM.asp?sid=gumtree
Id Subtitle 1351375217
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Executive Placements
Selling for 1 year
Total Ads5.25K
Active Ads5.25K
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Join a handsâ??on, collaborative team that genuinely enjoys the work. Our Client partners closely with the business, dive deep into their challenges, and design practical, highâ??impact solutions.Youll work with modern tools and platforms like SAS, Python, SQL, AWS, and SAS Viya, and build everything from exploratory analyses to full productionâ??ready models. With our Client you can expect variety, ownership and growth.Responsibilities:Build and deploy statistical + machine learning models using SAS, Python, and SQLDesign & implement AI-driven solutions for complex business challengesOwn the data pipeline: source, clean, prepare, explore, and analyseCrack logic problems and bring structure to unstructured challengesCreate visualizations and dashboards to tell stories with dataWork in modern environments using AWS and SAS ViyaRequirements: Honours / Masters / PhD in a quantitative fieldDeep understanding of statistics & modelling theory4 years of experience building & deploying ML/statistical modelsStrong dataâ??wrangling and preparation skillsExposure to cloud platforms (AWS) and SAS ViyaExperience with visualization tools (SAS Visual Analytics or similar)Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1271140-Job-Search-03-12-2026-04-14-24-AM.asp?sid=gumtree
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