Senior Group Technical Architect

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

In short

We are seeking an experienced Databricks & Snowflake Data Architect to design and implement scalable, secure, and high-performance enterprise data platforms. The role involves defining end-to-end data architecture, data ingestion, transformation, storage, governance, integration, and performance optimization across Databricks and Snowflake environments.

Responsibilities

Design end-to-end cloud data architecture using Databricks and Snowflake.
Define scalable Lakehouse, Data Lake, Data Warehouse, and Data Mart architectures.
Architect data ingestion and transformation pipelines for batch and streaming workloads.
Design Databricks solutions leveraging Delta Lake, Unity Catalog, Spark, notebooks, workflows, and medallion architecture.
Design Snowflake architecture covering databases, schemas, virtual warehouses, storage, data sharing, security, and workload management.
Define patterns for integrating Databricks and Snowflake within the enterprise data ecosystem.
Drive data modeling approaches including dimensional, normalized, and analytical models.
Establish architectural standards for security, access control, data governance, metadata management, lineage, and data quality.
Optimize Spark and SQL workloads for performance, scalability, reliability, and cost efficiency.
Design integration patterns with cloud storage, APIs, databases, ETL/ELT platforms, BI tools, and downstream applications.
Define reusable architecture frameworks, design patterns, coding standards, and technical best practices.
Lead architecture reviews and provide technical guidance to engineering teams.
Work closely with business stakeholders, data engineers, analysts, product teams, and cloud/platform teams.
Support migration and modernization of legacy data warehouse/data lake platforms to Databricks and Snowflake.
Evaluate technical requirements and make appropriate architecture decisions considering scalability, security, performance, maintainability, and cost.

Requirements

Strong hands-on architecture experience with Databricks.
Apache Spark / PySpark
Spark SQL / SQL
Delta Lake
Unity Catalog
Databricks Workflows
Lakehouse architecture
Medallion Architecture: Bronze, Silver, Gold
Performance optimization and cluster/workload tuning
Data governance and security
Strong Snowflake architecture and implementation experience.
Snowflake database and schema design
Virtual Warehouses
Snowflake SQL
Data loading and ELT patterns
Performance and query optimization
Role-Based Access Control (RBAC)
Secure data sharing
Time Travel / cloning concepts
Cost and workload optimization
Enterprise Data Architecture
Data Lake / Lakehouse / Data Warehouse architecture
ETL/ELT architecture
Data modeling
Batch and real-time/streaming architecture
Data governance, lineage, metadata, and data quality
Cloud-native data architecture
CI/CD and DevOps practices for data platforms
Strong experience with Azure: ADLS Gen2, Azure Data Factory, Key Vault, Entra ID and related Azure data services.
Strong experience with AWS: S3, IAM, Glue and related AWS data services.
Strong experience with GCP: Cloud Storage, IAM and related Google Cloud data services.
Strong overall experience in Data Engineering/Data Architecture.
Significant architecture and solution-design experience with Databricks and Snowflake.
Proven experience designing enterprise-scale cloud data platforms.
Experience handling complex data migration and modernization programs.
Strong understanding of security, governance, performance tuning, and cost optimization.
Ability to translate business requirements into scalable technical architecture.
Strong stakeholder management and technical leadership skills.

Desired Qualifications

Experience integrating Databricks/Snowflake with tools such as Power BI, Tableau, dbt, Kafka, Airflow, Azure Data Factory, or equivalent technologies is desirable.
Databricks Certified Data Engineer Professional / relevant Databricks certification.
SnowPro Core / SnowPro Advanced Architect.
Azure, AWS, or Google Cloud architecture/data certifications.
A strong candidate should be more than a Databricks or Snowflake developer. They should demonstrate hands-on architecture ownership.

Benefits

Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Global technology company, home to more than 223,000 people across 60 countries.
Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
Works with clients across all major verticals.

Skills

DatabricksSnowflakeApache SparkPySparkSpark SQLSQLDelta LakeUnity CatalogDatabricks WorkflowsLakehouse architectureMedallion ArchitectureSnowflake SQLRole-Based Access Control (RBAC)Enterprise Data ArchitectureData LakeData WarehouseETLELTData modelingBatch architectureStreaming architectureData governanceData lineageData qualityCloud-native data architectureCI/CDDevOpsAzureADLS Gen2Azure Data FactoryKey VaultEntra IDAWSS3IAMGlueGCPCloud StoragePower BITableaudbtKafkaAirflow

#Databricks#Snowflake#Data Architect#Cloud Data Platform#Data Engineering#Azure#AWS#GCP#Data Modeling#ETL#ELT#BI Tools#Performance Optimization#Cost Optimization#Data Governance

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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