DE&A - Core - Cloud Data Engineer
- Zensar
- 3 - 8 years
- Pune
- 3 days ago
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Job Description
Solution & Data Architecture
- Design end to end data platforms using Azure Databricks, Azure Data Lake (ADLS), Delta Lake, and surrounding Azure services.
- Define Lakehouse 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, goverce, 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 teams on complex implementations.
- Enforce coding standards, CI/CD practices, and reusable frameworks .
- Ensure on time, 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.
B.Tech/B.E
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 .
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full timeContact Details:
Company: ZensarLocation(s): Pune+ View Contact
Keyskills: Architecture Data modeling Coding power bi Stakeholder management Cost optimization Monitoring SQL Data architecture Python
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