QBurst
Website:
qburst.com
Job details:
Description
We are seeking a Data Architect with deep expertise in Databricks and modern Lakehouse architectures to lead enterprise data transformation initiatives. This is a hands-on, customer-facing architecture role that combines technical leadership, solution design, pre-sales engagement, and delivery oversight. As a trusted advisor to enterprise customers, you will lead technical discussions with data and technology leaders, design scalable Lakehouse solutions, and guide delivery teams through successful implementation. You will also play a key role in shaping the Databricks practice through reusable frameworks, accelerators, and architectural standards.
Responsibilitie
- sLead enterprise pre-sales engagements, including discovery workshops, solution architecture design, technical proposals, and executive presentations to CTOs, CDOs, and engineering leadershi
- pDesign and define modern Lakehouse architectures on Databricks, leveraging Delta Lake, Delta Live Tables, Unity Catalog, Databricks SQL, MLflow, and related platform capabilitie
- sOwn the technical direction of delivery engagements and lead a team of 4–8 data engineers by conducting design reviews, code reviews, and enforcing quality standard
- sCollaborate with account managers and practice leaders to qualify opportunities, estimate effort, define delivery approaches, and support commercial proposal
- sAssess customer data platforms, identify capability gaps, and develop migration or modernization roadmap
- sEstablish governance, security, and compliance frameworks, including data lineage, auditability, access controls, and data quality practice
- sDevelop reusable accelerators, reference architectures, delivery frameworks, and best practices to improve delivery efficiency and consistenc
- yRepresent the organization as a Databricks and Lakehouse subject matter expert at customer engagements, partner forums, industry events, and technical communitie
- sMentor and coach data engineers and architects, contributing to capability development across the practic
e
Requiremen
- ts10+ years of hands-on experience in data engineering and data platform developme
- nt5+ years of production experience with Databricks, including Unity Catalog, Delta Lake, Spark Structured Streaming, Databricks Workflows, and Databricks S
- QLProven experience designing and delivering enterprise-scale Lakehouse solutions supporting large-scale data environments and governance requiremen
- tsStrong programming skills in Python and/or Scala for Spark-based workloads, with advanced SQL proficien
- cyExperience working directly with enterprise customers in consulting, professional services, or system integration environmen
- tsDemonstrated ability to lead workshops, create Statements of Work (SOWs), define solution architectures, and engage senior business and technology stakeholde
- rsDeep understanding of data governance, security, lineage, auditability, and regulatory compliance within modern data platfor
- msDatabricks Certified Data Engineer Professional and/or Databricks Certified Associate Developer for Apache Spark certificati
- onExperience implementing Databricks across AWS, Azure, and GCP environmen
- tsFamiliarity with the broader data ecosystem, including dbt, Fivetran, Tableau, Power BI, and related technologi
- esExperience with Databricks Feature Store, MLflow, and ML-integrated data engineering workflo
- wsPrior experience in a Senior Architect, Principal Architect, or similar leadership role within a consulting organization, systems integrator, or Databricks partn
- erContributions to the data engineering community through technical blogs, conference presentations, open-source projects, or thought leadership conte
nt
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