Big Data Solution Architect jobs in United States
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The Dignify Solutions, LLC · 1 month ago

Big Data Solution Architect

The Dignify Solutions, LLC is seeking a Big Data Solution Architect with extensive experience in architecting and building large scale big data solutions. The role involves designing and implementing end-to-end Big Data projects and requires solid experience with various big data technologies and cloud platforms.

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Responsibilities

10+ years of overall experience in architecting and building large scale, distributed big data solutions in the capacity of software architect, solution architect, or engineering leader
Proven track record of consistently architecting, designing, developing and/or implementing an end—to-end Big Data Lake, Business Intelligence - Tableau/Power BI/Qlik, Data Science project
Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack
Well versed with performance tuning of compute heavy workloads
Working experience in Cloudera distribution and AWS/Azure/GCP Cloud
Solid understanding of Data Quality, Data Governance and Data Security
Experience in big data solutions like Impala, Oozie, Flume, Sqoop or ZooKeeper
Proficient in Python/R, Java, Scala, Ruby or C++
Experience with one of the large cloud-computing infrastructure solutions like AWS Redshift, Snowflake, SQL DW, BigQuery
Good experience in database and hands-on experience in big data technologies such as Hadoop/Hive/Spark/MongoDB, with experience in data ingestion, data wrangling, data virtualization technologies such as StreamSets, Trifacta, Denodo will be a big plus
Strong analytical skills - ability to develop an idea into solution, define features, qualitative and quantitative analysis
Knowledge of Healthcare/Pharmaceutical industry experience is an added advantage
To be able to work in a fast-paced agile development environment

Qualification

Big Data ArchitectureHadoop EcosystemCloud ComputingData GovernanceData QualityData SecurityBusiness IntelligenceBig Data PipelinesDatabase ExperienceAnalytical SkillsHealthcare ExperienceAgile DevelopmentPython/RJavaScalaRubyC++

Required

10+ years of overall experience in architecting and building large scale, distributed big data solutions in the capacity of software architect, solution architect, or engineering leader
Proven track record of consistently architecting, designing, developing and/or implementing an end—to-end Big Data Lake, Business Intelligence - Tableau/Power BI/Qlik, Data Science project
Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack
Well versed with performance tuning of compute heavy workloads
Working experience in Cloudera distribution and AWS/Azure/GCP Cloud
Solid understanding of Data Quality, Data Governance and Data Security
Experience in big data solutions like Impala, Oozie, Flume, Sqoop or ZooKeeper
Proficient in Python/R, Java, Scala, Ruby or C++
Experience with one of the large cloud-computing infrastructure solutions like AWS Redshift, Snowflake, SQL DW, BigQuery
Good experience in database and hands-on experience in big data technologies such as Hadoop/Hive/Spark/MongoDB
Strong analytical skills - ability to develop an idea into solution, define features, qualitative and quantitative analysis
To be able to work in a fast-paced agile development environment

Preferred

Knowledge of Healthcare/Pharmaceutical industry experience is an added advantage
Experience in data ingestion, data wrangling, data virtualization technologies such as StreamSets, Trifacta, Denodo will be a big plus

Company

The Dignify Solutions, LLC

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The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).

Funding

Current Stage
Growth Stage
Company data provided by crunchbase