ET - Group Technical Architect

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science · Software Engineering

In short

Suchen Sie einen erfahrenen Data Architect mit über 15 Jahren Erfahrung in Datenarchitektur, SQL, Databricks, Datenmodellierung, Data Warehousing, Lakehouse-Plattformen, Python, Spark und Cloud-nativen Datenlösungen auf Azure oder GCP. Die Stelle beinhaltet die Definition der Unternehmensdatenarchitektur, das Design von Cloud-Datenlösungen und die Führung von Cloud-Migrationsprogrammen.

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).
Design and optimize complex SQL-based analytical solutions.
Tune performance, data partitioning, indexing strategies, and large-scale data processing.
Define the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements.
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.
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.

Requirements

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

Desired Qualifications

Azure Solutions Architect Expert / Azure Data Engineer certification preferred.
Google Professional Cloud Architect / Professional Data Engineer certification preferred.

Benefits

Supercharge your potential.
Find your career.
Find your spark.
A place that knows that helping its customers stay on top starts by putting its people first.

Skills

Data ArchitectureAdvanced SQLDatabricksData ModelingData WarehousingLakehousePythonSparkAzure FabricAzure SynapseAzure ADFGoogle BigQueryGoogle DataflowGoogle DataprocGoogle Vertex AIQuery OptimizationStar SchemaSnowflake SchemaData VaultPySparkETLELTReal-Time AnalyticsData GovernanceMetadata ManagementAI/MLDevOpsCI/CDCloud Migration

#Data Architecture#Cloud#SQL#Big Data#Python#Spark#Azure#GCP#Databricks#Data Warehousing#Lakehouse

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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