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3+ years Snowflake Architect level experience (Production Grade): ie previous titles like Data Analytics Architect. Job Title: Snowflake / AWS Integration Architect.
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Knowledge or experience working with cloud data warehouses (Azure, Snowflake, GCP, AWS) Expert knowledge and delivery experience with Tableau, Power BI, Qlik or any other data visualization tools.
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4+ years using modern platforms & technologies, such as big data, data warehouses, data lakes, and data lakehouses; proficiency with Elixir; proficiency with Snowflake; familiarity with Databricks.
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3+ years Snowflake Architect level experience (Production Grade): ie previous titles like Data Analytics Architect or Principal Engineer. Automate the data quality activities in snowflake (Task, workflow.
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A history of leadership building sustainable patterns and standardsA comprehensive understanding of agile environmentsExperience working with cloud platforms (AWS) and relevant services (e.g., Lambda, s3, Athena, Aurora)Experience using job orchestration tools (e.g., Airflow, Control-M, CA ESP, Snowflake tasks)Experience developing or architecting performant, cost efficient, and scalable data products and solutions.
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Advanced data platforms like Snowflake, Redshift, and Databricks. Overture Partners' client has an immediate need for a Lead Data Architect. This role offers an exciting chance to spearhead the architectural design and development of web applications, which heavily rely on data.
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10 years of experience of data warehousing like: SQL Server, Snowflake, and/or AWS Redshift. At least 5 years of hands-on experience in architecture design and implementation of business intelligence and predictive analytics on cloud-based Data Warehouses.
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Experience with modern cloud analytics platforms such as Snowflake and/or Databricks is required. Experience with MDM (Master Data Management). bility to converse with CXO level folks; should be able to provide inputs to the overall data strategy and challenge customer, when required.
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Expertise in Snowflake data modeling in star, snowflake and data vault 2.0, ELT using SnowPipe, implementing stored procedures and standard DWH and ETL concepts. In-depth knowledge of Snowflake cloud data platform and its components, such as Virtual Warehouses, Snowflake Data Sharing, etc.
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Technical skills: AWS, Python, Java, Perl, ETL tools like informatica, Snowflake, Jenkins, CI/CD, Oracle, Postgres, Machine learning, modeling tools (Erwin, Enterprise Architect, and Visio), knowledge of NoSQL and cloud computing, Hadoop technologies, Linux.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Directing Data warehouse concepts like Star Schema, Snowflake, dimension and fact tables, and how to scale these solutions for performance and resiliency for reporting; Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) As a Sr. Architect, you will help lead the effort to create the technology target state for the Enterprise Data and Analytics Unit of a global, Dow 30 company.
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At least five years experience working as a Solution Architect in system/data integration, development or enterprise/cloud software implementation. Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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Experience in developing architectural solutions using Azure Data Factory, Azure Synapse, ADLS Gen 2, Snowflake, Databricks, Azure Purview, Informatica DQ, Attacama, and Power BI. Role: Data Architect.
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Skilled in crafting robust data ecosystems optimized for high-volume, real-time operations, employing relational databases such as RDS, NoSQL, along with advanced data technologies like Snowflake and BI tools such as Tableau.
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