Lead Data Specialist
@ Talentify.io

Hybrid
$140,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

About the Role

The Lead Data Specialist role at Talentify.io offers the opportunity for career advancement and growth in a modern, remote work environment within the Information Technology Services sector. In this role, you will drive modernization in child welfare systems by collaborating with diverse technical teams to build cloud-based data solutions that impact child welfare practices.

Job Responsibilities

  • Identify, manage, and resolve data-related issues, risks, and gaps.
  • Design and document source and target-state data architectures for applications and analytics.
  • Develop and implement ETL processes and data pipelines.
  • Create ERDs, data dictionaries, and semantic models.
  • Plan and manage data catalog and metadata provisioning.

Qualifications

Required: Minimum 8 years in Multidimensional Model Database Design, ETL design/development, data quality and master data management integration, ERDs, business vocabulary, data dictionary, and schema mapping, and delivering data analytic implementation projects. Additionally, a minimum of 3 years with cloud-based data stack tools and platforms.

Preferred Qualifications

Experience with child welfare data modeling, case management, analytics, familiarity with federal CCWIS requirements, and prior CCWIS project experience. Strong collaboration and communication skills are essential.

Key Skills/Competency

  • Data Architecture
  • ETL Development
  • Cloud Platforms
  • Data Modeling
  • Child Welfare
  • Data Quality
  • Master Data Management
  • ERD Creation
  • Metadata Provisioning
  • Collaboration

How to Get Hired at Talentify.io

🎯 Tips for Getting Hired

  • Customize resume: Tailor your experience to data architectures and ETL.
  • Highlight skills: Emphasize cloud and child welfare expertise.
  • Research Talentify.io: Understand their mission and projects.
  • Prepare for interviews: Practice technical and scenario-based questions.

📝 Interview Preparation Advice

Technical Preparation

Review ETL design fundamentals.
Study data architecture case studies.
Practice cloud platform configurations.
Brush up on schema mapping techniques.

Behavioral Questions

Describe conflict resolution in a team.
Explain handling project deadline pressure.
Discuss collaboration with diverse teams.
Detail managing complex project challenges.

Frequently Asked Questions