This role is for one of the Weekday's clients
We are seeking an experienced and visionary Director – Data Engineering to lead and scale our data engineering function.
You will play a critical role in building robust, scalable, and efficient data platforms that power analytics, machine learning, and business intelligence across the organization.

Requirements

Min Experience: 12 years
Lead the design, development, and optimization of scalable data pipelines, data lakes, and data warehouses.
Define and implement the overall data engineering strategy aligned with business goals and future growth.
Architect modern data platforms leveraging cloud technologies such as AWS, Azure, or GCP.
Drive best practices in data modeling, ETL/ELT processes, data governance, and data quality management.
Collaborate closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making.
Build and mentor a high-performing team of data engineers, fostering a culture of innovation, ownership, and continuous improvement.
Oversee large-scale data integration efforts involving structured and unstructured data sources.
Ensure data security, compliance, and privacy standards are adhered to across all systems.
Evaluate and implement new tools, frameworks, and technologies to enhance data capabilities.
Establish performance benchmarks and continuously improve system reliability, scalability, and efficiency.
Strong expertise in Data Engineering fundamentals including distributed data processing, data architecture, and pipeline optimization.
Hands-on experience with big data technologies such as Spark, Hadoop, Kafka, and Airflow.
Proficiency in SQL, Python, Scala, or Java for building and managing data workflows.
Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, BigQuery, Azure Data Factory).
Experience with real-time and batch data processing systems.
Strong knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code.
Proven ability to design systems that handle high data volume, velocity, and variety.
Demonstrated experience in leading and scaling data engineering teams in fast-paced environments.
Strong stakeholder management and communication skills, with the ability to translate technical concepts into business value.
Strategic thinker with a problem-solving mindset and attention to detail.
Ability to drive cross-functional collaboration and influence decision-making at senior levels.
Passion for innovation and staying updated with emerging trends in data and analytics.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience in building data platforms supporting AI/ML initiatives is a plus.
Prior experience in a leadership role within high-growth or enterprise environments.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata pipelinesdata lakesdata warehousesdata modelingETLELTdata governancedata quality managementbig data technologies

Soft Skills

leadershipmentoringcollaborationstakeholder managementcommunicationstrategic thinkingproblem-solvingattention to detailinnovationcross-functional collaboration

Certifications

Bachelor’s degreeMaster’s degree