01Responsibilities
Partner with existing teams to further develop and implement the data warehousing strategy, ensuring alignment with business objectives and driving data-driven decision-making across the organizationOversee the integration of data products in Snowflake and dbt, ensuring seamless data flow, quality and accessibilityDesign and develop data replication and transformation pipelines leveraging solutions such as HVR. Configure and manage HVr instances for optimal performance and scalabilityDevelop, automate and implement data quality checks and monitoring proceduresManage and optimize Snowflake data warehouse, data mart and application-based solutions to ensure high performance, scalability, and reliabilityImplement cost management strategies to optimize data warehousing expenses while maintaining high service levelsEnsure data security, compliance, and governance are integrated into all data warehousing processes to meet regulatory and organizational standardsEstablish and maintain robust metadata management practices to ensure data quality and accessibilityWork closely with cross-functional teams, including IT, marketing, and customer service, to ensure data warehousing initiatives support business goalsEmphasize rapid prototyping and continuous process improvement to enhance data warehousing capabilities and drive innovationMentor and develop a high-performing team of data engineers and analysts, fostering a culture of excellence and continuous learningStay up to date on the latest advancements in industry and technology solutions, bringing insights to the team for continuous development of our stack, solutions and ways of working
What are we looking for
Were looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
02Requirements
10+ years of experience in both on-prem and cloud-based data warehousing and data marts, with at least 5 years focused on leadership of Snowflake warehousing team(s).Bachelors degree in Data Science, Computer science or related field; Masters degree preferred.Demonstrable hands-on experience with:Cloud data lake architectures: AWS S3, Glue, Lake Formation, Snowflake, or similarData lake design patterns: raw, curated, consumption zones; medallion architectureData versioning and schema evolution: e.g., Delta Lake, Apache IcebergData governance and cataloging: including any of the following (preferred experience in multiple tools) Unity Catalog, Collibra, Atlan, AWS Glue Data CatalogProgramming: Python and/or SQL (production code, reusable libraries, tests)Pipeline orchestration: Airflow, Step Functions, dbt, or similarDevOps for data: Terraform/CloudFormation, CI/CD, monitoring, and runbook creationStrong understanding of data modeling, data quality, and secure data onboarding/governanceExperience with both batch and real-time data processing
Preferences:
AWS (S3, Glue, Lake Formation, IAM), SnowflakeSQL, Pythondbt, Airflow, Step FunctionsTerraform/CloudFormation, CI/CD (GitHub Actions, Jenkins)Observability (Dynatrace preferred, Datadog, Prometheus)Data governance & security (Unity Catalog, Collibra, Atlan)
Core Competencies:
Excellent communication and stakeholder management skillsExperience with Spark, Snowflake or other big data frameworksAWS and/or Snowflake architect or developer certificationsDemonstrated use of AI/ML tools to augment engineering productivity (prompting for code generation, LLMs for docs/tests, query optimization)Experience with knowledge graphs and semantic data modelingLLM/AI augmentation toolingLPL Global Business Services, LLP - PRIVACY POLICY .
