Databrick Architect
Databrick Architect
Posted yesterday
SENIORITY
Manager
About the role
- Lead enterprise-scale Databricks Lakehouse Architecture design and implementation on AWS.Drive large-scale data platform modernisation and cloud transformation initiatives.
- Architect scalable Medallion Architecture (Bronze, Silver, Gold) data platforms.
- Lead migration of legacy EMR, NiFi, Redshift, and ETL workloads to Databricks.
- Design high-performance batch and real-time data processing solutions.
- Build robust ingestion frameworks using Auto Loader, Delta Lake, and Structured Streaming.
- Define enterprise data governance and security standards using Unity Catalog.
- Architect metadata-driven and reusable PySpark-based ETL/ELT frameworks.
- Establish best practices for performance tuning, scalability, and cost optimisation.
- Design and implement data quality, lineage, and observability frameworks.
- Drive adoption of CI/CD, DevOps, Infrastructure as Code, and automation practices.
- Collaborate with business, analytics, and engineering teams to define target-state architectures.
- Conduct architecture reviews and provide technical leadership across multiple projects.
- Mentor architects and senior engineers on Databricks and AWS best practices.
- Design secure and scalable solutions leveraging AWS services (S3, Glue, Athena, Lambda, IAM, Redshift).Implement and govern enterprise-wide data access, compliance, and security controls.
- Evaluate and adopt latest Databricks capabilities such as DLT, Lakehouse Federation, Serverless, and MLflow.
- Enable AI/ML, Generative AI, and advanced analytics use cases on the Lakehouse platform.
- Create architecture roadmaps, migration strategies, standards, and governance frameworks.
- Act as the primary technical advisor for customer leadership on data strategy and platform evolution.
- Expertise You'll Bring:
- Lead enterprise-scale data platform modernization initiatives, driving migration from AWS EMR, Apache NiFi, and legacy ETL frameworks to the Databricks Lakehouse Platform.
- Architect and implement scalable Lakehouse solutions using Databricks, Delta Lake, Unity Catalog, and Databricks Workflows.
- Design and govern end-to-end data pipelines for batch, streaming, CDC, and real-time data integration workloads.
- Provide architecture leadership for large-scale AWS-based data ecosystems leveraging S3, IAM, Redshift, Glue Catalog, Airflow, and Databricks.
- Develop enterprise data architecture standards covering data modelling, metadata management, lineage, governance, security, and compliance.
- Drive adoption of Databricks best practices including Delta Live Tables (DLT), Auto Loader, Unity Catalog, Serverless Compute, Lakehouse Federation, and advanced optimization techniques.
- Lead replatforming and migration programmes involving PySpark applications, Airflow DAGs, EMR workloads, Redshift integrations, and NiFi pipelines.
- Partner closely with business stakeholders, enterprise architects, product owners, and data science teams to define technology roadmaps and target architectures.
- Establish governance frameworks using Unity Catalog, data quality controls, observability, monitoring, and operational excellence practices
- Provide technical leadership, mentoring, architecture reviews, design governance, and solution sign-offs across multiple delivery teams.
- Lead architecture workshops, executive presentations, solution assessments, and technology evaluations.
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
- Values-Driven, People-Centric & Inclusive Work Environment:
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