V
Architect
Job Description
The ideal candidate should have hands-on experience with AWS, Denodo, Snowflake, Redshift, PostgreSQL, ETL/ELT technologies, and SQL, along with the ability to translate business requirements into robust technical solutions.
Design and implement data architecture and data integration solutions aligned with business and application requirements.
Gather and analyze requirements for data integrations, migrations, and application/data initiatives.
Design data models and data structures to support enterprise applications, dashboards, and business intelligence solutions.
Develop and support data integration pipelines using AWS Glue, ETL/ELT tools, APIs, and database technologies.
Design and implement data virtualization and integration solutions using Denodo.
Work with Snowflake, Redshift, PostgreSQL, Oracle, SQL Server, and Netezza for data storage, processing, and integration requirements.
Develop and optimize SQL, PL/SQL, stored procedures, and data transformation logic.
Design cloud-based data solutions using AWS services including Glue, Lambda, S3, CloudWatch, RDS, IAM, and SQS.
Support migration of existing data transformation and integration logic to cloud-based solutions.
Integrate data from diverse sources including databases, APIs, SaaS applications, SharePoint, and cloud platforms.
Design event-driven and application integration solutions using AWS Lambda and event triggers.
Build and maintain data ingestion solutions, including Snowflake stages, Snowpipe, and S3-based integrations.
Analyze and resolve data, query, integration, and production dashboard issues through root-cause analysis.
Support data quality and master-data activities, including validation, checks, and maintenance.
Optimize database structures and data-processing solutions for application consumption and performance.
Provide technical guidance and lead development activities across data engineering and integration initiatives.
Collaborate with business stakeholders, SMEs, developers, and application teams to translate requirements into technical solutions.
Support and guide team members in the delivery of data engineering and integration solutions.
Data Architecture & Data Platforms
Data Warehousing
Data Modelling
Data Integration
Data Quality
Data Virtualization
Business Intelligence
Denodo
Snowflake
Amazon Redshift
Cloud – AWS
AWS Glue
Design and implement data architecture and data integration solutions aligned with business and application requirements.
Gather and analyze requirements for data integrations, migrations, and application/data initiatives.
Design data models and data structures to support enterprise applications, dashboards, and business intelligence solutions.
Develop and support data integration pipelines using AWS Glue, ETL/ELT tools, APIs, and database technologies.
Design and implement data virtualization and integration solutions using Denodo.
Work with Snowflake, Redshift, PostgreSQL, Oracle, SQL Server, and Netezza for data storage, processing, and integration requirements.
Develop and optimize SQL, PL/SQL, stored procedures, and data transformation logic.
Design cloud-based data solutions using AWS services including Glue, Lambda, S3, CloudWatch, RDS, IAM, and SQS.
Support migration of existing data transformation and integration logic to cloud-based solutions.
Integrate data from diverse sources including databases, APIs, SaaS applications, SharePoint, and cloud platforms.
Design event-driven and application integration solutions using AWS Lambda and event triggers.
Build and maintain data ingestion solutions, including Snowflake stages, Snowpipe, and S3-based integrations.
Analyze and resolve data, query, integration, and production dashboard issues through root-cause analysis.
Support data quality and master-data activities, including validation, checks, and maintenance.
Optimize database structures and data-processing solutions for application consumption and performance.
Provide technical guidance and lead development activities across data engineering and integration initiatives.
Collaborate with business stakeholders, SMEs, developers, and application teams to translate requirements into technical solutions.
Support and guide team members in the delivery of data engineering and integration solutions.
Data Architecture & Data Platforms
Data Warehousing
Data Modelling
Data Integration
Data Quality
Data Virtualization
Business Intelligence
Denodo
Snowflake
Amazon Redshift
Cloud – AWS
AWS Glue
More Info
Key Skills
About Company
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Aws Lambda, Tensorflow, Pytorch, Docker, FastAPI, Python, Kubernetes, LangChain, PEFT, Pinecone, Context Management, LangGraph, CI/CD pipelines, FAISS, AWS SageMaker, LoRA, Transformers, Azure AI, Prompt Engineering
Skills:
Java J2ee, Core Java, Soap, Ansi Sql, RESTful, InsuranceNow, XML Webservices
Skills:
Alteryx, Apache Spark, SSIS, SQL Server Agent, Cloud data platform design, Lakehouse architectures, Medallion Unity Catalog architecture
Skills:
Data Modeling, deployment strategies, connectors, Power Apps, environment management, digital workflows, automation governance, MS Power Automate, integration concepts
Skills:
Apis, Microservices, Integration patterns, Value stream analysis, Process Optimization, User journey mapping, Process flow diagramming, Vendor assessment, Powerpoint, Architectural data flow views, Value Stream Mapping, Conceptual data models, TOGAF certification, Lean Six Sigma, Capability mapping, Multi-tier application architectures, Interoperability views, Business application integration models, Miro