DAS42’s Post

#hiring Data Governance - Senior Consultant, New York City, United States, fulltime #opentowork #jobs #jobseekers #careers #NewYorkCityjobs #NewYorkjobs #HealthcareMedical Apply: https://lnkd.in/g7wnNsbq Job Family:Digital ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.Translate these use cases into requirements to communicate to the technical implementation team to implement into Collibra.Collaborate closely with business stakeholders to ingest and analyze existing data dictionaries, business glossaries, and taxonomies to determine the existence of metadata gaps, alignment with controlled vocabularies, and potential contribution to increase usability, reliability, and search/discoverability of data assets associated with the Collibra adopters' use cases.Provide guidance in setting the relevant workflows, roles, views, audit reports, and other execution and monitoring concepts within Collibra to support governance of the data inventory development.Provide guidance in supporting lineage creation in Collibra.Provide guidance in developing roles and permissions to support cross-community collaboration for managing and governing assets

#hiring Data Governance - Senior Consultant, New York City, United States, fulltime #opentowork #jobs #jobseekers #careers #NewYorkCityjobs #NewYorkjobs #HealthcareMedical Apply: https://lnkd.in/gHhBtNaG Job Family:Digital ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.Translate these use cases into requirements to communicate to the technical implementation team to implement into Collibra.Collaborate closely with business stakeholders to ingest and analyze existing data dictionaries, business glossaries, and taxonomies to determine the existence of metadata gaps, alignment with controlled vocabularies, and potential contribution to increase usability, reliability, and search/discoverability of data assets associated with the Collibra adopters' use cases.Provide guidance in setting the relevant workflows, roles, views, audit reports, and other execution and monitoring concepts within Collibra to support governance of the data inventory development.Provide guidance in supporting lineage creation in Collibra.Provide guidance in developing roles and permissions to support cross-community collaboration for managing and governing assets

Data Architect opportunity with international NGO

Need a data expert on short notice? At Triatin, we bring expert resources to your project fast—whether it's a data modeler, engineer, architect, or developer—covering almost every major data technology out there. Our team-based approach ensures you get the right talent at rates often lower than hiring full-time staff. From data modeling and cloud architecture to AI, machine learning, and data governance—we cover it all: #SAPBI #AZURE #OCI #IBMCLOUD #GCS #AWS #SQL #ORACLE #TERADATA #DATABRICKS #INTEGRATION Whether you need help for a week, a month, a specific deliverable, or ongoing support, we’re ready to work on-site, remote, or hybrid—anywhere in Australia.

🔍 Data Architect vs. Data Governance Manager: What's the Difference? 🔍 In the world of data, roles can often overlap and get confusing. Let’s clear it up! 📐 Data Architect: Designs and builds data systems and structures. Think of them as the blueprint creators for data management. 🛡️ Data Governance Manager: Ensures data quality, security, and compliance. They are the guardians, making sure data is used correctly and safely. 💬 Your turn: How do these roles interact in your organization? Share your experiences, challenges, and insights in the comments! 🚀 Let’s demystify these crucial roles together and strengthen our data-driven community! #DataArchitecture #DataGovernance #DataRoles #CommunityEngagement #DataManagement

Hiring A Data Architect 1. Understand the complexity of the job. A great data architect is used to managing 1,000 data points concurrently on multiple levels - it is like a multi-dimensional array. They can sense the impact from any one change to the far reaches of the grid, and they can manage concurrent changes. If something goes wrong they can point you to where you should be monitoring and triaging. Any time you want to integrate new architecture they can tell you what will work and what will break. It is a very complex skill set that is a combination of natural talent and experience. 2. Thinking vs Doing If you want someone who looks busy all the time, you don't want a real data architect. Most of their time is spent thinking and reviewing. They are always trying to be ahead of the curve - ensuring things go smoothly and preventing problems. As you get higher up the data chain the work becomes more and more cerebral. A lot of companies are used to hiring technicians in data roles - then the company culture is happy to see them plugging away like worker bees. You will then be frustrated by great architects - they appear to be coasting. But, in reality, they work twice as hard - it is just less visible. 3. It Will Cost You Great data architects do not come cheaply. But, in the long run, the investment is worth every cent. They will elevate your whole data team, energize your whole team, and drive you to data excellence. Greatness starts at $250K. Remember - you get what you pay for. 4. They Are The Top Of The Pyramid Don't look to hire a data architect if your data team is just 2 or 3 people. First, you will annoy them (you are not taking data seriously), and second, you will be frustrated (they are not a Swiss army knife of data - model, analysis,m engineer, DBA). Maybe, you really need to spend your architect money on hiring smart people for each of the other roles. #data

Recruiting in the Data Consulting market, I've noticed that the most impactful areas and where the most successful clients operate in todays market is; data modernization. Recently, ON Data Staffing had the privilege of supporting a US Data Consultancy with the hiring process for a project focused on modernizing a client’s data infrastructure – transforming legacy systems into a scalable, cloud-based solution. When hiring Data Consultants for this project, my client & I weren’t just looking for technical qualifications. We sought out candidates who could effectively communicate the deeper purpose of data modernization to stakeholders – that it’s not just a tech upgrade but a strategic alignment of data capabilities with future goals. Through this hiring journey, I personally recognized that data modernization goes beyond just staying competitive. It’s about empowering faster insights, better decision-making, and enhancing agility in today’s data-driven world. Which then reminded me, in Data Consulting, when hiring, its not always technical skills which are most important, its the ability to tell a story through data & help the client understand the importance of their project. #DataHeadhunter #Databricks #Snowflake #dbt #ModernDataStack #DataConsulting

Scaling Businesses: The Dual Challenge of Data and Talent As companies grow, both data architecture and recruitment play a critical role in ensuring seamless scaling. Here are some key questions to consider: **Data Infrastructure: Are our systems and pipelines ready to handle rapid growth? **Governance: Do we have clear frameworks for data quality, security, and accessibility? **Recruitment: Are we hiring top talent—data architects, engineers, and governance specialists—to lead the way? **Collaboration: Are technical and business teams aligned to turn data into actionable insights? Getting it right means fewer bottlenecks, smarter decisions, and a stronger competitive edge. #DataArchitecture #TechRecruitment #DataGovernance #ScalingStrategies #GrowthMindset #DataInnovation #VDartgulf VDart

Top 5 ways of hiring the best Data engineering consultant #Dataengineeringconsultant https://lnkd.in/ggfNHyJ7 In this article we will explore different ways to hire the best data engineer consultant online.

🔍 What does an Analytics Engineer do? 💡 An #AnalyticsEngineer works at the intersection of #data #engineering and #analysis, transforming raw data into clean, well-structured #datasets that drive #business decisions. By leveraging #tools like #SQL, #dbt, and #cloud platforms, they ensure data pipelines are accurate, scalable, and reliable, empowering teams with the #insights they need. 📊 🚀 If you enjoy working with data and solving complex problems, this dynamic role could be a perfect fit for you!  🫵 Our next Analytics Engineer #training starts on October 1 or November 5. Interested?  Download the full job description (link in the comment section) to learn more!