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Senior Technical Architect

Job in Lake, Logan County, West Virginia, 25121, USA
Listing for: HCL Technologies
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations, Azure
Job Description & How to Apply Below
Location: Lake

Job Summary Data Architect - 15+ years’ experience. Strong experience in Data Architecture, Advanced SQL, Databricks, Data Modeling, Data Warehousing, Lakehouse Platforms, Python, Spark, and cloud-native data solutions using either Microsoft Azure (Fabric, Synapse, ADF) or Google Cloud Platform (Big Query, Dataflow, Dataproc, Vertex AI).

Key Responsibilities

Key Responsibilities Define enterprise data architecture and cloud data strategy. Design Data Lake, Lakehouse, Data Warehouse, and Real-Time Analytics solutions in cloud (Azure or GCP). Strong expertise in designing and optimizing complex SQL-based analytical solutions.

Experience with performance tuning, data partitioning, indexing strategies, and large-scale data processing. Expertise in defining the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements. Ability to translate business requirements into scalable data models and analytics solutions. Lead cloud migration and data modernization programs. Own RFP solutioning and proposal development, driving technical and commercial alignment while leading solution defense sessions to secure client confidence and business outcomes.

Lead POCs and innovation initiatives on emerging Azure or GCP services and Gen AI use cases. Architect scalable batch and streaming data pipelines. Establish data governance, security, metadata, and data quality frameworks. Collaborate with bus Skill Requirements Required Technical Skills Hands-on experience with Azure Databricks for building scalable data pipelines, ETL/ELT processes, Data Warehousing, Lakehouse architectures, and advanced analytics solutions using Spark/PySpark Advanced SQL & Query Optimization Data Modeling (Dimensional, Star Schema, Snowflake Schema, Data Vault) Data Engineering (PySpark/Spark,Python,ETL) Batch & Real-Time Data Processing Data Governance, Security & Metadata Management Strong AI/ML background.

Dev Ops with CI/CD Experience. Cloud Data Platforms (Azure or GCP) Azure Expertise:
Microsoft Fabric, SQL, Azure Synapse Anal Other Requirements Preferred Certifications Azure Solutions Architect Expert / Azure Data Engineer Google Professional Cloud Architect / Professional Data Engineer Key Skills / ATS Keywords SQL, Advanced SQL, Query Optimization, Data Modeling, Data Architecture, Data Warehouse, Lakehouse, Microsoft Fabric, Azure Synapse, Databricks, ADF. SQL, Advanced SQL, Query Optimization, Big Query, Dataflow, Vertex AI, Dataplex, Data Governance, AI/ML, Cloud Migration.
Position Requirements
10+ Years work experience
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