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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional. The Senior Data Architect Lead is responsible for leading the development and delivery of data software products, managing the flow of work using Kanban and / or SAFe Agile methodologies, and designing and implementing data architecture solutions to support business objectives.
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Northern Trust is currently looking for a Data Architect to join our Enterprise Architecture team. This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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The Data Engineer is a key member of WellNows Data Operations team. Consume and process data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage systems) and file formats (Excel, CSV, XML, JSON, Parquet.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. The Data Coordinator is responsible for maintaining study files, reviewing data in real time, and ensuring that SOP, Protocol, and GLP requirements are met.
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Working knowledge of unity catalog and data governance principles. 4-6 years of hands-on data engineering experience. Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle.
$83.33 - $93.33 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience in one or more of the following toolsets: Python scikit-learn, Databricks ML, AWS Sagemaker, MATLAB, SPSS/R.You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like Python, R, Tensorflow/PyTorch, Plotly Dash, Streamlit, R Shiny, Tableau or Power BI. Southern California Base Salary Range: $116,974-$187,158.
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12+ years experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics. We are looking for a skilled and experienced Marketing Data Architect to join our Enterprise Data Warehousing Team. The successful candidate will play a critical role in designing, developing, and maintaining the data architecture specifically for marketing analytics and insights.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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AWS Solutions Architect or AWS Big Data Certification preferred. Data services layer including ATHENA, redshift, RDS, microservices and APIS. Migrate data from traditional file systems and NAS shares to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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data job Title: architect Company: Edward Jones
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