ET - Group Technical Architect
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 27, 2026.
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 (BigQuery, 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 business, delivery, and leadership teams.
- Provide technical leadership, solution reviews, and mentoring.
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. DevOps 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, BigQuery, Dataflow, Vertex AI, Dataplex, Data Governance, AI/ML, Cloud Migration.