1 to 25 of 740 Snowflake Jobs

can really make a difference. We have a great opportunity for a number of Database Administrators (Level 3) to join the team. Database Administration of Greenplum/Postgres/Snowflake o Role 1: Snowflake DBA o Role 2: GP/PSG DBA (good to know Snowflake) Key Responsibilities: * Candidate will have extensive working knowledge on PostgreSQL, Snowflake and Greenplum databases. … Snowflake internals and integration with other data processing technologies. * Data lakes, data structures and data models suited to Snowflake architecture. * Snowflake modelling - roles, schemas and databases. * Experience of building data ingestion pipelines with tools like Informatica, Talend etc. * Effective management of data from various sources like JSON, XML, CSV etc. * Expertise in Patroni for HADR and streaming replication. * Strong knowledge … of Postgres/Greenplum database backup and recovery strategies. * Proven experience in performance tuning and optimization for Postgres/Snowflake and Greenplum. * Develop and maintain backup strategies to ensure data integrity and availability. * Manage day-to-day activities such as database provisioning, maintenance, and upgrades in Postgres. * Perform data migrations using gpcopy and other tools, minimizing downtime and data loss. More ❯

Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). More ❯

CD pipelines, Terraform, CloudFormation, or Kubernetes. Deep understanding of data security, compliance, and governance processes. Excellent communication, leadership, and stakeholder engagement skills. Preferred Skills Experience implementing enterprise analytics using Snowflake, Redshift, BigQuery, or Azure Synapse. Knowledge of AI/ML pipelines and MLOps frameworks. Exposure to microservices and API-based integration. Certification in AWS, Azure, or Google Cloud architecture. Experience More ❯

at least one major cloud provider (AWS, Azure, or GCP Strong experience building cloud data lakes, warehouses, and streaming architectures. Proficiency with data processing tools such as Spark, Databricks, Snowflake, Hadoop, or similar. Strong knowledge of ETL/ELT frameworks, API integration, and workflow orchestration tools (Airflow, Azure Data Factory, AWS Glue, etc. Deep understanding of relational and NoSQL databases More ❯

Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

building ETL/ELT pipelines, data lakes, and data warehouses. Solid understanding of data science methodologies and tools . Proficiency in SQL and experience with modern data platforms (e.g., Snowflake, Redshift, Databricks). Experience integrating AI with cloud platforms (AWS) and microservices. Excellent communication and collaboration skills; ability to work across teams and lead initiatives. Familiarity with Agile development and More ❯

for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building More ❯

Cloud, CRM Analytics AI/ML: LLMs, Transformers, Generative AI, Predictive Modeling, Semantic Search, Vector Databases MLOps & Infrastructure: MLFlow, Kubeflow, Docker, Kubernetes, Terraform, GitHub Actions Data & Integration: SQL, NoSQL, Snowflake, Databricks, Airflow, MuleSoft, Boomi, REST APIs Cloud Platforms: AWS (SageMaker, Lambda), Azure (ML Studio), GCP (Vertex AI, BigQuery More ❯

and big data processing frameworks (e.g., Spark, Flink). Strong experience with cloud platforms (AWS, Azure, GCP) and related data services. Hands-on experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery), Databricks running on multiple cloud platforms (AWS, Azure and GCP) and data lake technologies (e.g., S3, ADLS, HDFS). Expertise in containerization and orchestration tools like Docker and More ❯

support governance and compliance requirements. Skills & Experience Advanced technical proficiency in SQL, Python, and modern data transformation tools (dbt strongly preferred), with experience in cloud data platforms (Azure Databricks, Snowflake, or similar). Proven experience designing and implementing scalable data architectures, including dimensional modelling, data lakehouse/warehouse concepts, and modern data stack technologies. Strong software engineering practices including version More ❯

AI, or similar frameworks. Implement MLOps best practices, including CI/CD for model retraining, versioning, and testing. Optimize performance and scalability of data storage solutions (e.g., Redshift, BigQuery, Snowflake, or Delta Lake). Ensure data quality, lineage, and governance through monitoring, validation, and documentation. Contribute to infrastructure-as-code (IaC) setups for reproducible deployments using Terraform, CDK, or CloudFormation. More ❯

and communication skills. Desirable Certifications Bachelors degree in Data Science, Computer Science, Mathematics , or a related field. Microsoft Certified Azure Data Engineer Associate or Azure Database Administrator Associate . Snowflake Certified Data Engineer or equivalent certification in modern cloud data warehousing . Professional certifications in Python , SQL , or ETL/Data Pipelines (e.g., Coursera, DataCamp). Whats on Offer Salary More ❯

Core Capabilities Data Platform Architecture : Can design and justify a modern architecture, including specific technology choices among potential candidates (e.g. Azure Data Lake, Synapse or Fabric, Data Factory; Databricks; Snowflake; dbt; Power BI; etc). Preferably has experience with the Azure family of data related products. Can design and validate a data flow between systems to ensure there is a More ❯

modelling. · Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile. · Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks). · Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud More ❯

time streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud More ❯

Strong expertise in SQL, NoSQL and data integration technologies. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data warehousing technologies such as Snowflake, Redshift, BigQuery, Synapse, or Teradata. Skilled in ETL/ELT tools and data pipeline technologies such as Informatica, Talend, Databricks, or Apache tools. Strong understanding of data governance, MDM, metadata More ❯

monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯

monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯

automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/ More ❯

automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/ More ❯

and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and the ability to influence at senior levels. Nice-to-haves: Experience with Snowflake or hybrid multi-cloud data solutions. Familiarity with banking or financial data frameworks such as BCBS239 or IRB. Background in agile delivery and infrastructure automation using Terraform or similar. Package More ❯

data engineering, data integration, or applied AI/ML development. Proficiency in SQL with strong database design and query optimization skills. Experience with cloud-based platforms such as AWS, Snowflake, or Redshift. Strong programming experience in Python; additional experience with Java, Scala, or similar a plus. Demonstrated knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and ability to operationalize More ❯

analytics with CMS/CRM data Understanding of data governance + PII handling in analytics platforms Nice to Have: dbt (Core or Cloud) Experience with modern lakehouse stacks (Databricks, Snowflake) Background in nonprofit/charity analytics (not essential) If you've delivered Microsoft Fabric projects end-to-end and can build clean, scalable data platforms using GA4 and CMS data More ❯

on colleagues for guidance. Strong SQL skills and understanding of data models and data principles. Experience with mobile-responsive dashboards and self-service analytics. Desirable Experience with cloud platforms (Snowflake, Azure, BigQuery). Python skills. Experience in agile delivery environments. Understanding of GDPR and data governance. BI tool certifications. The BI team has historically been highly technical; you will bring More ❯