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Lead Data Architect

2 months ago

Stamford, Connecticut, United States JobTarget LLC Full time
About the Role

JobTarget LLC is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers.

We are seeking a dedicated and technically adept Lead Data Engineer to lead our data engineering team. In this role, you will take on the critical responsibility of architecting and scaling our cloud-based data lakehouse infrastructure, overseeing the development and management of data pipelines using tools such as Airflow and AWS Glue.

Key Responsibilities
  • Technical Leadership: Lead the design, development, and optimization of our cloud data lakehouse and data pipelines, ensuring they are robust, scalable, and aligned with business needs.
  • Pipeline Management: Oversee the end-to-end development and maintenance of ETL/ELT pipelines using Airflow, Glue, and other data processing tools, ensuring efficient and reliable data flow.
  • Collaboration: Partner with the Data Insights and Governance group to ensure our data architecture and solutions meet business objectives while adhering to data governance and compliance standards.
  • Architectural Oversight: Guide the architectural decisions that shape our data infrastructure, ensuring best practices in data security, performance, and scalability.
  • Cross-functional Engagement: Work closely with data science, analytics, and other teams to design and develop business intelligence models that support strategic initiatives.
  • Mentorship: Mentor and support the growth of junior data engineers, fostering a culture of continuous learning and improvement within the team.
  • Data Governance & Integrity: Ensure that all data engineering efforts adhere to the highest standards of data governance, including data quality, consistency, privacy, and compliance with relevant regulations.
  • Documentation and Standards: Ensure comprehensive documentation of data systems, procedures, and standards, maintaining a high level of operational excellence.
Qualifications
  • Education: Bachelor's degree in Computer Science, Data Engineering, or a related field is required. A Master's degree is preferred.
  • Experience: A minimum of 7-10 years of experience in data engineering or architecture, with at least 3 years in a leadership role. Proven experience in building and managing large-scale data infrastructure in dynamic environments such as e-commerce, SaaS, or related industries is essential.
  • Technical Expertise: Deep understanding of big data technologies, including but not limited to AWS services (S3, Redshift, RDS), and experience with data pipeline tools like Airflow and Glue.
  • Programming Skills: Proficiency in programming languages and tools such as Python, SQL, and data visualization tools like PowerBI or Tableau.
  • Strategic Mindset: Ability to make informed decisions in high-stakes situations, balancing technical considerations with business objectives.
  • Leadership and Initiative: Self-driven and highly motivated, with a passion for leading technical teams and driving impactful data solutions.