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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Big Data Architect IT Consultant Master (ONSITE) This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Collaborate closely with the ads business, engineering, and data teams to deploy data-driven solutions using cloud-based technologies such as Snowflake, Databricks, and Azure. As a Senior Data Scientist specializing in Product and Display Ads at Gopuff, you will be entrusted with driving the development of advanced algorithms and models for relevant ad recommendations to ensure good consumer experience and setting smart bidding and budget for advertisers to maximize return on advertiser spend and marketplace efficiency.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus. The Data Platform Architect is responsible for the end-to-end design, implementation, and management of data platforms that support Apptio’s data-driven initiatives.
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Expertise in database science (including expertise in SQL), bigdata, columnar data warehouses, data warehouse design and management. Gala is at the forefront of creating innovative web3 experiences and deals with a large number of disparate entertainment products that are disrupting engagement in the web3 space with Games, Music and Film. This involves decision making that are data-critical with low failure tolerance and high usability.
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We are looking for a stellar and seasoned Platform Architect to fill in a very strategic role within our Data & Analytics organization to transform our existing BI, analytics and data ecosystem to a future state aligned with our business strategy and enterprise architecture.
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As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Atlas Tech is looking for a Database Architect in Alexandria, we are seeking the individual to lead our organization through a critical migration project, transitioning from Oracle Apps EBS Suite, SQL Server databases, SharePoint lists, and various unstructured data sources to Microsoft Dynamics 365 CRM. This role will require a blend of technical expertise, strategic planning, and team leadership to ensure a seamless, efficient migration process.
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Principal Architects are skilled at identifying, collaborating, and designing technical solutions for the lifecycle of data – from applications, to reporting, to analytics, to long term storage and retrieval, using Azure technologies and supporting the movement of data across gathering, landing, consuming, and analyzing data across the Azure platform, including SQL Server, Azure Data Factory, Synapse, Data Lake, Databricks, Cosmos DB, Power BI, and related technologies.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Previous experience in Operations and/or Financial Services industry - Relevant work experience of 2-4 years in one or a combination of the following: Client onboarding within Corporate Investment Banking, Static Data Process, middle office, collateral, business Operations AML/KYC Onboarding.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Certified AWS Big Data Specialty (Nice to have) Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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data job Title: big data architect Company: Wells Fargo
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