Senior Data Architect

14 hours ago


Hyderabad, Telangana, India HyrEzy Talent Solutions Full time
HyrEzy Talent Solutions is seeking an experienced Senior Data Architect to lead our data engineering projects and teams. The ideal candidate will have a strong understanding of business operations, challenges faced, and business technology used across business functions.

The estimated salary for this role is $140,000 - $200,000 per year, depending on location and experience. This figure is based on industry standards and the level of expertise required for the position.

Key Responsibilities:
  • Client Engagement & Relationship Management:
    • Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.
    • Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.
    • Translate client requirements into actionable technical solutions and project plans.
  • Project Management & Delivery:
    • Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.
    • Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.
    • Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.
  • Technical Leadership & Innovation:
    • Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.
    • Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.
    • Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.
  • Team Leadership & Development:
    • Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.
    • Provide professional development opportunities, coaching, and career growth support to team members.
    • Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.
  • Data Governance & Quality Assurance:
    • Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.
    • Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.
  • Business Development & Consulting:
    • Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements.
    • Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the company's reputation in the industry.


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