Data Architect – Redmond, WA | Remote |
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Local: Redmond, Washington
Work Modality: Remote with Compulsory Participation in PST Temporal Zone
Designation: Senior Data Architect / Architect of Big Data Solutions
We seek an exceptionally adept and visionary Data Architect possessing profound, hands-on acumen in **Apache Spark (Scala), SQL, Power BI, and contemporary big data paradigms.
This pivotal role encapsulates the design of scalable data infrastructures, the construction of secure and dependable data conduits, and the provision of actionable analytics for enterprise stakeholders. You shall engage in a collaborative, cross-disciplinary milieu where the preeminence of data engineering and architectural prescience is paramount for triumph. As a Data Architect, you will spearhead comprehensive data architectural endeavors, encompassing ingestion, transformation, modeling, optimization, and visualization. You will ascertain that expansive datasets are meticulously structured, processed, and leveraged with efficacy. This position is quintessential for a candidate who revels in unraveling intricate data quandaries, crafting high-performance architectures, and empowering organizations to render decisions grounded in empirical evidence.
Principal Responsibilities
* Architect, devise, and refine **expansive data conduits** employing Apache Spark and Scala.
* Actualize scalable data processing frameworks for structured, semi-structured, and unstructured information.
* Formulate and govern intricate SQL queries, schemas, and data constructs across distributed systems.
* Construct enterprise dashboards and analytical visualizations utilizing Power BI.
* Collaborate with engineering, cloud, product, and analytics collectives to forge a cohesive data ecosystem.
* Steer performance optimization for Spark tasks, ETL workflows, and high-throughput distributed architectures.
* Uphold data integrity, governance, security, and compliance protocols throughout the data continuum.
* Integrate avant-garde big data instruments, cloud technologies, and real-time streaming architectures.
Qualifications
* Expertise of the highest order in Apache Spark with Scala for both batch and streaming data endeavors.
* Profound command of advanced SQL, query optimization, and relational data constructs.
* Demonstrable prowess in Power BI for enterprise-level reporting and business intelligence.
* Tangible experience with Hadoop, Hive, HDFS, or analogous distributed computing frameworks.
* In-depth comprehension of big data processing methodologies, performance enhancement, and data orchestration.
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Qualifications
* Extensive experience in Spark performance enhancement, memory optimization, and job parallelization.
* Acquaintance with Microsoft Azure platforms, encompassing:
* Azure Data Lake Storage (ADLS)
* Azure Databricks
* Azure Synapse Analytics
* Familiarity with financial services, banking, or ERP ecosystems such as SAP or Oracle.
* Exposure to multi-cloud environments, including AWS, GCP, or hybrid cloud solutions.
* Insight into CI/CD pipelines, orchestration instruments, and contemporary DevOps methodologies.
* Bachelor’s or Master’s degree in:
* Computer Science
* Data Engineering
* Information Systems
* Software Engineering
* Or any commensurate technical discipline
* Exemplary analytical, optimization, and data modeling capabilities.
* Proficient communication skills to elucidate complex architectures to non-technical cohorts.
Why This Role Distinguishes Itself
This prospect affords you the opportunity to:
* Sculpt and architect expansive data systems from inception to fruition.
* Engage with avant-garde technologies within a cloud-first context.
* Influence pivotal decision-making through the delivery of high-value analytics.
* Collaborate with senior technologists and astute business leaders.
* Augment your expertise in Spark, Scala, Azure, and enterprise BI frameworks.
Method of Application
We invite you to apply at your earliest convenience or disseminate pertinent profiles to:
📧 [dilawark@kaizentek.com] (mailto:dilawark@kaizentek.com)
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