What are the responsibilities and job description for the Cloud Senior Architect– Azure position at SSV Technologies Inc?
Job Details:
Job Title: Cloud Senior Architect
Job Location: Jersey City, NJ (3 Days onsite , 2 Days remote) hybrid role
Job Type:12 Months contract W2 only
Job Location: Jersey City, NJ (3 Days onsite , 2 Days remote) hybrid role
Job Type:12 Months contract W2 only
The Cloud Senior Architect owns the design and roadmap for hybrid bigdata platforms. They establish reference architectures, security models, and integration patterns for onprem and cloud components. The role involves guiding engineering teams, reviewing designs, and ensuring adherence to governance standards. Collaboration with PMs and stakeholders is critical to align architecture with business and regulatory needs.
Required Qualifications
- Deep knowledge of Azure data services (Databricks, Data Lake Storage, ADF, Event/Message services) and patterns.
- Prior architecture work in Hadoop/Cloudera (HDFS, Spark, Hive/Impala, Ranger/Sentry), including integration design.
- Hybrid connectivity (ExpressRoute/VPN), networking, security hardening, secrets/keys, identity/RBAC.
- Data governance: catalog/lineage (e.g., Purview), schema evolution, DQ frameworks, retention, audit.
- Scalability/performance design for batch/stream processing; reliability/DR across environments.
- Cost management and FinOps practices for clusters, storage tiers, and scheduling.
- Reference architectures, standards, and blueprint documentation; design review leadership.
- Agile mindset: iterative evolution, MVPs, incremental component add ons, and migration planning.
- Strong communication to align business, compliance, and engineering; stakeholder buy in and presentation skills.
- Ability to mentor engineers and collaborate with PM on roadmaps and dependencies.
Desired Qualifications
- Certifications (Azure Solutions Architect Expert; Databricks Certified Architect).
- Experience with Zero Trust controls and regulated data domains (financial/regulatory reporting).
- Familiarity with observability stacks and SRE patterns in data platforms.
- Exposure to multi region DR and active active considerations