We are looking for a seasoned and strategic Manager, Data Engineering to lead and evaluate our data engineering team, while building and maintaining scalable cloud environments. The ideal candidate will bring a wealth of experience in architecting, managing scalable and innovative data platforms. Additionally, the manager will contribute to the technical vision of the company and steer our data engineering initiatives. Strong understanding of cloud environments and native tooling. Strong understanding of architecture design patterns and experience with building robust ingestion frameworks and data services.

JOB DUTIES

• Develop and communicate a forward-thinking strategic vision for the data engineering initiatives.
• Set the guidance and expectations for high-quality output, including rapid development and on-call/support response rates.
• Design and architect scalable, high-performance data platforms to support the organizations data storage, processing, and analytic needs.
• Manages stakeholder relationships and the team’s work in accordance with compliance, SLAs, and business requirements.
• Define data models, schemas, and standards for structure, semi-structure, and unstructured data sources, for interoperability across systems.
• Implement automation frameworks, workflow orchestration tools, and monitoring solutions to streamline data pipeline operations to ensure data quality and reliability.
• Collaborate with executive leadership to align platform strategies with overall business objectives.
• Lead, mentor, and inspire a high-performing team of data engineers & scientists, while driving the professional development and growth of team members.
• Define and drive the evolution of the architecture, ensuring scalability, reliability, and cutting-edge technology adoption.
• Promote a culture of continuous integration, development, and delivery.
• Evaluate, negotiate, and manage relationships with third-party vendors and service providers.
• Ensure cost-effective and reliable services that align with business goals.
• Collaborate with various departments, including product development, IT, and data teams to ensure seamless integration of data solutions for business teammates.
• Act as a technical leader and influencer across the organization.
• Drive a culture of innovation and continuous improvement within the data engineering & architecture teams, fostering collaboration and results-oriented environment.

QUALIFICATIONS

• Bachelor’s degree in computer science or related field; master’s degree preferred.

EXPERIENCE REQUIRED

• Minimum of 8 years of experience in a leadership role within data engineering, architecture, or related field.
• Strong leadership and managerial skills, with the ability to inspire and motivate multiple teams.
• Strong development experience in cloud computing platforms (e.g., Snowflake, AWS, DBT) and modern data architecture patterns and best practices mandatory.
• Performs 4-6 hours of development daily along with managing the workloads for the team.
• Strong understanding of open-source Apache tools (i.e., Nifi, Airflow, Kafka, Spark, etc.)
• Proficiency in programming languages such as Python, Java, or Scala with experience working with SQL & NoSQL databases.
• Strong technical proficiency in cloud technologies, ingestion frameworks, architecture, and automation.
• Strong understanding of cloud data architectures (e.g., cloud services, micro services, data analytics) for incorporating a combination of data services, technologies, and architectural patterns.
• Practical understanding of middleware, event streaming, and distributed systems.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical business teammates.
• Exceptional strategic thinking, leadership, and communication skills.
• Knowledge of machine learning and data science concepts is required.