Title: Data Lead
Location: Dallas, TX(Onsite)
Duration: Full Time
We are seeking a highly skilled Data Lead with over 9 years of experience in the data space, with proven expertise in implementing Data Warehouses and Data Lakes. The ideal candidate should have a solid understanding of Agile Methodology and be capable of leading data-driven projects, designing robust data architectures, and ensuring the success of large-scale data initiatives.
Key Responsibilities:
- Manage the end-to-end design, development, and implementation of data solutions, including data warehouses and data lakes, to support business objectives.
- AWork closely with cross-functional teams to design data architectures that align with organizational needs and ensure data integration, storage, and access for analytics and reporting.
- Oversee the planning, development, and maintenance of scalable and efficient data warehouses that centralize business data for reporting and decision-making.
- Lead the setup and management of data lakes, ensuring a flexible, scalable environment for storing and analyzing large volumes of structured and unstructured data.
- Utilize Agile practices to drive iterative development of data solutions, ensuring timely delivery, continuous improvement, and adaptability to changing business requirements.
- Establish and enforce data governance policies, ensuring data quality, security, and compliance with industry standards and regulations.
- Provide technical leadership to the data engineering and analytics teams, ensuring effective communication and collaboration across teams.
- Collaborate with business stakeholders to understand their data needs and provide tailored solutions that enhance data-driven decision-making.
- Continuously monitor, optimize, and improve data pipelines, ensuring data systems operate at peak performance.
- Enable data availability for business intelligence and reporting tools, ensuring accurate, timely data for decision-making.
Required Skills & Qualifications:
- 9+ years of experience in the data space, including implementing data warehouses, data lakes, and other large-scale data architectures.
- Deep expertise in designing, implementing, and optimizing data warehouses, with experience in technologies like Snowflake, Redshift, BigQuery, etc.
- Proven experience in implementing data lakes using modern big data technologies (Hadoop, Spark, Azure Data Lake, AWS S3, etc.).
- Hands-on experience working in Agile environments and leading data projects using Agile principles and methodologies.
- Strong knowledge of data integration tools (ETL/ELT), databases (SQL, NoSQL), and modern data architectures (data lakes, data warehouses).
- Ability to lead, mentor, and manage a team of data engineers and analysts, ensuring successful project delivery and continuous team development.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data-related issues.
- Excellent communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.