Lead the design, development, and optimization of end-to-end ETL/ELT pipelines for the entire engineering team

Design, deploy, and maintain scalable and efficient data architectures supporting organizational growth

Drive efforts to ensure data quality, reliability, and availability across all platforms for analytics and reporting

Define and oversee proper storage of data in line with relevant legislation, organizational policies, and compliance standards

Architect and enforce security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability within data solutions

Collaborate closely with cross-functional leaders and stakeholders to translate business needs into technical solutions

Drive innovation and decision-making to solve complex integration challenges and ensure alignment with organizational goals

Provide leadership and mentorship to junior and mid-level data engineers, fostering a culture of continuous improvement and collaboration

Evaluate emerging technologies and strategies to enhance system integration and data engineering practices

5+ years of experience in data engineering, integration, or similar roles

Leadership experience of over 1 year in managing teams and driving organizational change through data solutions

Certification in relevant technologies (e.g., AWS Certified Data Analytics, Snowflake SnowPro Core Certification) with proven expertise

Strong background in advanced techniques such as machine learning, data mining, and predictive analytics

Proven proficiency in executing and implementing data governance and data management best practices to ensure compliance and high-quality data standards

Expert-level understanding of Agile development methodologies and their application to large-scale projects

Demonstrated competency in domains such as Finance, Consumer, Commercial, P&C, Supply Chain, Product, and Life Sciences at a leadership level

Advanced expertise in handling and integrating data from platforms such as Salesforce, DCE (Digital Consumer Engagement), ERP, and Finance Systems

Extensive showcase of Snowflake expertise: Data warehousing, integration, transformation, optimization, and architecture

Proficiency in Amazon AWS tools, such as S3, Redshift, Glue, Lambda, EMR, and AWS data services relevant to high-scale data environments

Strong experience with open-source technologies like Apache Kafka and Apache Spark for event streaming and big data processing

Mastery of SQL and NoSQL database systems with the ability to design and optimize complex queries

Track record of leveraging data visualization tools for system monitoring and pipeline optimization

Advanced knowledge of data security standards, privacy requirements, and compliance frameworks

Exceptional analytical, problem-solving, and team collaboration skills to foster strategic success

Strong communication and collaboration skills, with English proficiency at a B2+ level or higher

Expertise in tools like Data Build Tool (dbt) for advanced data modeling and transformation workflows

Hands-on experience with Matillion for complex ETL processes and streamlined data transformations