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Senior Cloud Architect – Azure, Hybrid Big Data
Dhaka Technologies Limited Company. Own the architecture design and roadmap for hybrid big data platforms across on-premises Hadoop/Cloudera and Azure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing hybrid big data architectures, focusing on Azure data services and Hadoop/Cloudera environments. Proficient in data governance, scalability, performance, and cost management practices while ensuring alignment with business and regulatory needs.
Highest-signal resume keywords
Azure Data ServicesHadoop/Cloudera ArchitectureData Governance StandardsScalability and Performance DesignCost Management and FinOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
HDFSSparkHive/ImpalaDatabricksData Lake StorageAzure Data FactoryEvent and Message ServicesHybrid ConnectivityData Quality FrameworksDisaster Recovery Design
Soft Skills
Strong Communication SkillsMentoring EngineersCollaboration with Project Managers
Tools & Technologies
ExpressRouteVPNSecurity HardeningIdentity/RBACSecrets and Key Management
Industry Keywords
Reference ArchitecturesBlueprint DocumentationAgile MindsetIterative EvolutionMVPs
Tech Stack
Tools & technologiesAzureCloudHadoopHDFSSpark
About the role
Key responsibilities & impact- Own the architecture design and roadmap for hybrid big data platforms across on-premises Hadoop/Cloudera and Azure
- Establish reference architectures, security models, and integration patterns for on-premises and cloud components
- Design hybrid connectivity, networking, identity/RBAC, and secrets and key management
- Define data governance standards covering catalog and lineage, schema evolution, data quality, retention, and audit
- Design for scalability, performance, reliability, and disaster recovery across batch and streaming workloads
- Apply cost management and FinOps practices to clusters, storage tiers, and scheduling
- Produce standards and blueprint documentation
- Lead design reviews with engineering teams
- Plan migrations iteratively through MVPs and incremental component add-ons
- Mentor engineers
- Partner with project managers on roadmaps and dependencies
- Align architecture with business and regulatory needs
Requirements
What you’ll need- Deep knowledge of Azure data services, including Databricks, Data Lake Storage, Azure Data Factory, Event and Message services, and their design patterns
- Prior architecture work in Hadoop/Cloudera, including HDFS, Spark, Hive/Impala, Ranger/Sentry, and integration design
- Experience with hybrid connectivity, including ExpressRoute/VPN, networking, security hardening, secrets and keys, and identity/RBAC
- Data governance experience covering catalog and lineage, schema evolution, data quality frameworks, retention, and audit
- Scalability and performance design for batch and stream processing
- Reliability and disaster recovery design across environments
- Cost management and FinOps practices for clusters, storage tiers, and scheduling
- Experience producing reference architectures, standards, and blueprint documentation
- Design review leadership
- Agile mindset with iterative evolution, MVPs, incremental component add-ons, and migration planning
- Strong communication skills for business, compliance, and engineering stakeholder alignment, buy-in, and presentations
- Ability to mentor engineers and collaborate with project managers on roadmaps and dependencies
- Candidates must be authorized to work in the United States
- Candidates must be able to work onsite in Jersey City, New Jersey, three days per week
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability
- Additional voluntary benefits
- Employee Assistance Program
- Commuter benefits
- 401(k) plan
- Paid sick leave
- Other paid leave required by federal, state, or local law
- Holiday pay where applicable