Job Description :

Data Architect 


Total Experience: 15+ years of experience in Big data, Analytics, Data Warehousing

Location: Redmond or Dallas- Remote to start


Data architect is an expert in definition, design, implementation of data solutions adhering to enterprise architecture strategies, processes and standards. This specific role needs expertise in big data technologies: Hadoop Eco System, NoSQL and other distributed storage, Spark, Kafka and their cloud compatible services found in AWS analytical or Azure analytical components.  Should have experience implementing big data on a large-scale project.

This individual must be hands-on, responsible for solution developments and demos using IOT platforms, cloud infrastructure, and analytics services.



•  Shape and drive the architecture, design, and technical capabilities in Big Data Ecosystem technologies with hands on experience implementing scalable data ingestion, storage, processing and publication solutions

•  Experience in architecting large scale systems on the cloud which can handle more than large volumes of data in real-time and batch modes

•  Expertise in designing end to end data engineering solutions using a variety of data processing patterns

•  Experience in building deployment architecture over the cloud for a large-scale distributed system

•  Solid experience in developing data governance practices at enterprise level - Meta data, data lineage, data classification, data security & data life cycle

•  Hands on experience with public and private cloud capabilities including compute, storage, database and APIs

•  Experience with Normalized data store, Operational data store, Dimension data store & Enterprise Data lake

•  Should have experience in some of the below analytical use cases - fraud detection (credit card industry), forecasting and budgeting (finance), developing cellular/mobile packages by analyzing call patterns (telecommunication industry), market basket analysis (retail industry), customer risk profiling (insurance industry), usage monitoring (energy and utilities), and machine service times (manufacturing industry)

•  Own design and development of the solutions being developed

•  Design and implement NFR strategy across different layers of the architecture



•  Experience with big data processing and analytics frameworks–Hadoop/EMR/HDInsight), AWS Analytics services, Azure Analytics Services

•  Ingestion frameworks - Sqoop, Flume, AWS Glue, Azure Data Factory, Apache Kafka/AWS Kinesis/Azure Event Hub

•  Big data storage (HDFS, AWS S3, Azure Blob), Big data file formats, compression and serialization

•  Data lake – Azure & AWS offerings

•  Experience with some of the distributed processing engines – Apache Spark, Apache Flink, SOLR

•  Experience with data warehouse systems – Apache Hive, AWS Athena, AWS Redshift, Azure Synapse Analytics

•  Meta Data management for big data system – HCatalog, AWS Glue Data Catalog, Azure Data Catalog

•  Workflow frameworks – Apache Oozie, Apache Airflow, Luigi

•  NoSQL database modelling - Cassandra, MongoDB

•  Modelling for cloud databases – Aurora, RDS, Azure SQL server, DynamoDB, Cosmos DB,

•  Data visualization - Kibana, Power BI & Tableau

•  Experience working with ETL tools like Informatica, Talend & cloud specific tools


Nice to have

•  Machine learning and deep learning experience

•  Certificates - AWS Certified Data Analytics, Azure Data Solution certificates


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