Bot Consulting helps leading technology firms establish and scale high-performance Global Delivery Centers (GDCs) quickly and with reduced risk. They combine top talent with AI technology to optimize…
Bot Consulting helps leading technology firms establish and scale high-performance Global Delivery Centers (GDCs) quickly and with reduced risk. They combine top talent with AI technology to optimize…
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
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
Startup jobs. A lot of them.
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Bachelor’s 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.g., 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.g., 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