Sr. Databricks Lead/Architect

Boston, MA
Contracted
Experienced
Job Title : Sr. Databricks Lead/Architect
Location: Boston, MA (5 days onsite)
Duration: 12 Months
 
Note: Need some local to Boston area.
 
Key Responsibilities
Customer & Stakeholder Engagement
  • Act as the primary technical point of contact for customer stakeholders (Business, Product Owners, Architects, and IT Leadership).
  • Lead requirements discovery workshops, solution discussions, and architecture reviews.
  • Translate business requirements into scalable Azure Databricks based data architectures.
  • Present architecture options, trade offs, and roadmaps to senior stakeholders and decision makers.
  • Provide technical leadership during program inception, design sign off, and critical milestones.
Solution & Data Architecture
  • Design end to end data platforms using Azure Databricks, Azure Data Lake (ADLS), Delta Lake, and surrounding Azure services.
  • Define lake house architectures supporting batch, streaming, and near real time use cases.
  • Establish data modeling standards (bronze/silver/gold layers, dimensional models, curated data marts).
  • Ensure solutions align with security, governance, performance, and cost optimization best practices.
  • Define integration patterns with upstream and downstream systems (APIs, Kafka/Event Hub, Power BI, Azure Synapse, ML workloads).
  • Support cloud migration, modernization, and legacy platform replacement initiatives.
  • Review and validate offshore team deliverables for architecture adherence, quality, and performance.
  • Resolve technical blockers and guide te ams on complex implementations.
  • Enforce coding standards, CI/CD practices, and reusable frameworks.
  • Ensure ontime, high quality delivery aligned with customer expectations.
  • Drive DevOps enablement (Azure DevOps, Git, CI/CD pipelines).
  • Establish monitoring, logging, and cost optimization strategies.
Required Skills & Experience
Technical Skills
  • Strong hands on expertise with Azure Databricks (Spark, Delta Lake, Unity Catalog).
  • Deep experience with:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Data Factory / Synapse Pipelines
    • Streaming (Kafka / Event Hub / Structured Streaming)
    • Python, SQL, Spark optimization
  • Solid understanding of data warehousing, lakehouse, and analytics architectures.
  • Experience with Power BI or other BI/analytics tools.
  • Familiarity with ML/AI integration with Databricks is a plus.
Leadership & Soft Skills
  • Proven experience working directly with customers in an onshore role.
  • Strong communication, presentation, and stakeholder management skills.
  • Experience managing distributed / offshore delivery teams.
  • Ability to balance hands on architecture work with leadership responsibilities.
  • Strong ownership mindset and decision making ability.
 Experience & Qualifications
  • 10+ years in data engineering / data architecture roles.
  • 5+ years designing solutions on Azure data platforms.
  • 3+ years in a technical lead or solution architect role.
  • Azure or Databricks certifications preferred.
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