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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Establish a human-centric, modern data governance practice with a portfolio of enabling capabilities that include data catalog and marketplace, metadata management, data lineage, data glossaries, mapping, and data quality rules & standardization.
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Knowledge of the modern data stack landscape (Airflow, Dagster, dbt, Atlan, Alteryx, Collibra, Talend, Databricks, Snowflake, Tableau, Metabase, Mode, Superset, Fivetran, Stitch, etc.) You will leverage your intellectual curiosity, analytical mindset, and cross-functional program management skills to define & execute data governance and Master Data Management (MDM) strategies, and foster a culture of data-driven decision-making.
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Cross-functional knowledge of common enterprise data concepts: modern data stack, data engineering, data governance, data quality, master data management, and advanced analytics.
$185,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a team of forward-looking professionals in need of a strong candidate with : Kafka Architecture, Kafka APIs (Consumer, Producer, Streams), Data Streaming, Data Serialization (Avro, JSON), and Modern Software Development (Java with Spring Boot, Python, or C# with.
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Domain Expertise - Evaluate and implement industry standard enterprise-wide security technologies and concepts (Application Security, Data Loss Prevention, Security Event Management, GRC Tools, Threat and Access Management, among others), web-related technologies (such as, Web applications, Web Services and Service Oriented Architectures), network-related protocols, and next generation/ modern technology requirements (evolving encryption environment.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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Partner with the Chief Information Security Officer and Data Governance and Privacy Counsel to ensure our systems and information are secure, private, accurate, available, and accessible.
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About UsDiligent is the global leader in modern governance, providing SaaS solutions across governance, risk, compliance, audit and ESG. Empowering more than 1 million users and 700,000 board members and leaders with a holistic view of their organization's GRC practices so they can make better decisions, faster.
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Our expertise across applications, data, and the Microsoft Azure platform allows us to accelerate innovation speed, increase operational agility, and vastly improve the return on investment in modern technology and human expertise.
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Design migration strategies to move clients' data infrastructure to modern database platforms (including experiences with Databricks, mandatory; Snowflake, nice-to-have.) Provide guidance and expertise on data governance, data security, and data quality management.
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Knowledge of industry trends, customer difficulties, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are helpful.
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