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Solution Architect - Big Data Jobs

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Business/System Analyst
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Andersen
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Head of Business Systems Analysis and Engineering
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Lead Software Engineer
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United States , Wilmington, DE; Washington, DC; Philadelphia, PA
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103700.00 - 134460.00 USD / Year
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AMTRAK
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Sr. Salesforce Developers
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India
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SoftClouds
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Salesforce Marketing Cloud Developer
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India
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SoftClouds
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Java/Kotlin Full Stack Software Engineer
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United States , Salt Lake City
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Software Technology Group
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Staff Software Engineer
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United States , San Francisco
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220000.00 - 260000.00 USD / Year
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Pomelo Care
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Staff Software Engineer
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United States
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220000.00 - 260000.00 USD / Year
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Pomelo Care
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Software Developer
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United States , Newport, RI
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Knight Federal Solutions
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Software Cyber Security Engineer III
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United States , Stafford
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117700.00 - 170750.00 USD / Year
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KARL STORZ
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Sfcc Technical Lead
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Grinteq
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Software Engineer
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Mexico , Mexico City
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Construction Project Manager Italy
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Italy , Milan
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DATA4 Group
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Vice President and Head of Information Technology
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United States , Philadelphia
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Cabaletta Bio Inc
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People Systems Engineer, Airtable Specialist
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United States , San Francisco
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179000.00 - 232300.00 USD / Year
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Airtable
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Senior Full Stack Engineer
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United States
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130000.00 - 150000.00 USD / Year
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Airship
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Staff IAM Architect
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Canada
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Addepar
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Staff Software Engineer
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India , Pune
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6sense
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Cloud Architect
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United States , The Woodlands
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Robert Half
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Full Stack Developer
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Poland , Warsaw
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Circle K
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Are you a strategic technologist passionate about transforming data into a competitive asset? Explore rewarding Solution Architect - Big Data jobs, a pivotal role at the intersection of business strategy, advanced analytics, and scalable technology. A Big Data Solution Architect is the master planner responsible for designing, creating, and overseeing the implementation of comprehensive data ecosystems that enable organizations to harness vast volumes of structured and unstructured information. These professionals translate complex business challenges into robust technical blueprints, ensuring that data infrastructure is not only powerful and scalable but also aligned with key organizational goals. In this high-impact role, typical responsibilities encompass the entire data solution lifecycle. Architects begin by collaborating with stakeholders to gather and analyze business requirements. They then design end-to-end architectures, selecting and integrating appropriate Big Data technologies such as Hadoop, Spark, Kafka, and cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). A critical duty is creating logical and physical data models that ensure efficient data ingestion, storage, processing, and retrieval. They define data pipelines, establish governance and security protocols, and ensure the solution's reliability, performance, and cost-effectiveness. Furthermore, they provide technical leadership, guiding development teams and ensuring the implemented solution adheres to the architectural vision. To excel in Big Data Solution Architect jobs, a unique blend of deep technical expertise and strong business acumen is essential. Core technical skills include proficiency in distributed computing frameworks, cloud platforms (AWS, Azure, GCP), data modeling, SQL/NoSQL databases, and programming languages like Python, Java, or Scala. Equally important are soft skills: exceptional communication and presentation abilities to articulate complex designs to both technical and non-technical audiences, proven problem-solving capabilities, and consultative skills to understand and advocate for the best technical approach. Most positions require a degree in computer science or a related field, along with several years of hands-on experience in data engineering, software development, or a prior architect role. Relevant certifications in cloud or Big Data technologies are highly valued. For visionary engineers who thrive on building the foundational systems that drive analytics, machine learning, and data-driven decision-making, pursuing Solution Architect - Big Data jobs offers a challenging and future-proof career path. It is a role dedicated to constructing the intelligent backbones of modern enterprises, turning raw data into actionable insight and tangible business value.

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