Description :

About the job :

We are seeking a Databricks Architect to lead data platform strategy, define scalable architectures, and drive delivery excellence across enterprise programs.

This role demands strong technical leadership, client engagement skills, and ownership of large-scale, cloud-native data implementations.

Key Responsibilities :

- Define and drive enterprise data strategy, including Lakehouse architecture and roadmap

- Architect and implement scalable, secure, and high-performance data platforms on Databricks across cloud environments

- Lead end-to-end data platform modernization and transformation initiatives

- Establish best practices for data engineering, CI/CD, DevOps, and data governance

- Drive performance optimization, cost efficiency, and platform scalability

- Design and enforce data security, compliance, and governance frameworks

- Act as a trusted advisor to senior stakeholders, translating business needs into technical solutions

- Lead, mentor, and scale high-performing cross-functional data engineering teams

- Support pre-sales activities including solution architecture, estimations, and client presentations

Requirements :

Core Qualifications :

- Bachelors degree in Computer Science, Information Technology, or a related field

- 8+ years of experience in data engineering, analytics, or big data platforms

- Proven track record of architecting and delivering Databricks-based solutions at scale

- Along with experience with Databricks and at least one cloud data warehouse platform (e., Amazon Redshift, Snowflake, Google BigQuery, or Oracle Cloud Data Warehouse)

- Strong understanding of data warehousing concepts, dimensional modeling, and query optimization across platforms

- Strong understanding of Apache Spark internals and performance tuning

- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)

- Experience implementing data governance frameworks (e., Unity Catalog, data lineage, metadata management)

- Excellent stakeholder management and communication skills

- Demonstrated experience leading teams and managing complex project delivery

- Experience designing multi-cloud or hybrid data architectures

- Exposure to ML engineering and MLOps within the Databricks ecosystem

- Databricks Certified Professional or Architect certification

Why Join Us :

- Impact : Shape the data strategy and architecture of a fast-growing venture ecosystem

- Culture : Work in a collaborative, ownership-driven environment that values innovation

- Growth : Access continuous learning, mentorship, and leadership opportunities

- Benefits : Competitive compensation, comprehensive health benefits, and flexible work options