Senior Data Architect Lead

3 days ago


Hyderabad, Telangana, India Talent500 Full time
Job Title:

Senior Data Architect Lead

Company Overview:

Talent500 is a leading company in the field of data management and analytics. We are committed to providing our clients with innovative solutions that meet their needs.

Salary:

The estimated salary for this position is $120,000 - $180,000 per year, depending on experience.

Job Description:

Job Summary:

We are seeking an experienced Senior Data Architect Lead to join our team. The successful candidate will be responsible for designing and implementing advanced data architectures and ensuring the delivery of high-quality data solutions.

Main Responsibilities:

  1. Define and Prioritize Data Requirements: Collaborate with business stakeholders to understand their data needs and priorities.
  2. Design Advanced Data Architectures: Develop conceptual, logical, and physical data models and repositories to support business requirements.
  3. Partner with Architects and Experts: Work closely with other architects, infrastructure, and software experts to define metadata layers, technical strategy, and optimal integration within existing domain or value stream landscape.
  4. Translate Business Requirements to Technical Solutions: Communicate complex technical concepts to non-technical stakeholders and translate business requirements into actionable technical solutions.
  5. Accountable for End-to-End Solution Delivery: Ensure timely and effective delivery of high-quality data solutions that meet business requirements.

Requirements:

  • Experience: 3-5 years of experience as a Data Engineer Senior or architect.
  • Education: Bachelor's degree in Computer Science, Engineering, or related field.

Skills and Qualifications:

  • Data Programming: Strong programming skills in languages such as Python, SQL, SAS, Java, or similar.
  • Data Visualization & Reporting: Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Data Manipulation & Analytics: Familiarity with data manipulation and analytics tools such as RapidMiner or similar.
  • Data Integration: Knowledge of data integration tools such as Databricks, Informatica, or similar.


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