Data Architect

LKA Digital is seeking a highly skilled and motivated Data Architect to join our dynamic team. As a leading digital solutions provider, we are committed to harnessing the power of data to drive actionable insights and foster innovation. In this role, you will play a pivotal part in building and maintaining our data architecture, ensuring it aligns with our business goals and effectively supports data-driven decision-making. You will collaborate closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to design robust data solutions that can scale with our growing needs. Your expertise will be instrumental in integrating diverse data sources, implementing data governance practices, and ensuring the quality and security of our data assets. The ideal candidate will thrive in a fast-paced environment and possess a strong analytical mindset, paired with excellent problem-solving skills. At LKA Digital, we value creativity and initiative, and you will have the opportunity to innovate and influence our data strategy significantly as we move toward the future of digital transformation. If you are passionate about data and eager to make a meaningful impact, we encourage you to apply and join our team of dedicated professionals aiming to redefine the digital landscape.

Responsibilities

• Design and implement the overall data architecture strategy.
• Evaluate and recommend data modeling tools and technologies.
• Collaborate with stakeholders to identify data requirements and solutions.
• Ensure data quality, integrity, and security across all systems.
• Develop and maintain metadata repositories and data dictionaries.
• Create and optimize data warehouses and data lakes for performance.
• Lead initiatives for data governance and compliance.

Requirements

• Must be a U.S. citizen.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Architect or similar role in data management.
• Strong understanding of database management systems and data modeling techniques.
• Proficient in SQL, ETL processes, and data warehousing solutions.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and Big Data technologies.
• Exceptional analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork abilities to collaborate with diverse teams.

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