Senior Consultant, Professional Services

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EDB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

🏢 Enterprise

🤝 B2B

💰 Venture Round on 2019-10

Software • Enterprise • B2B

EDB is a company focused on providing advanced software solutions and services for database management. It specializes in PostgreSQL, an open-source database management system, and helps organizations deploy, run, and scale their data infrastructure efficiently and securely. EDB offers tools and support for database optimization, migration, and performance tuning, making it a valuable partner for enterprises looking to maximize their data capabilities.

📋 Description

• Assess existing customer deployments of Postgres and associated tools; develop recommendations and document required technical steps in clear runbooks. • Perform database migrations from Oracle, SQL Server and/or MySQL to PostgreSQL — schema conversion, data migration, PL/SQL remediation. • Design, implement and test High Availability configurations using PostgreSQL: EFM, Patroni and PGD (Active/Active) architectures. • Perform performance tuning for existing database deployments: queries, database configuration and OS-level optimisation. • Implement backup and recovery strategies (Barman, WAL archiving, PITR); perform upgrades and patching. • Evaluate customer security requirements and make recommendations covering authentication, encryption and access control. • Work with customers to upgrade applications to the latest version of Postgres and configure them to take advantage of new features. • Develop Professional Services proposals that address customer needs and targets; contribute to the PS pre-sales process. • Partner with clients to implement scalable data engineering pipelines, data models, data warehouses and analytics platforms from inception to deployment. • Set up and configure underlying data infrastructure — storage, compute clusters, cloud data warehouses (Snowflake, BigQuery, Databricks) — and identify performance tuning opportunities. • Develop advanced analytics models, dashboards and reporting frameworks that provide actionable business intelligence to client stakeholders. • Assist clients in integrating AI/ML capabilities, LLMs, RAG pipelines and predictive analytics into their existing data ecosystems and EDB Postgres AI platform. • Ensure high data quality, governance, security and performance optimisation across all client deliverables. • Strong written and verbal English communication skills — required at professional level. • A second European language is a significant advantage. Italian is particularly valued for current EMEA customer engagements; Spanish is also a strong asset.

🎯 Requirements

• Consultant level: 2–5 years of experience in Data Engineering, Data Analytics, database consulting or a data-focused technical role. • Senior Consultant level: 5–8+ years of DBA-level experience with Postgres or Oracle, with at least 2 years in a professional consulting organisation or equivalent. • Bachelor's or Master's degree in Computer Science, Computer Engineering, IT/Data Science or equivalent practical experience. • Proficiency in PostgreSQL — including administration, performance tuning, HA configuration and replication. • Experience with Oracle and/or SQL Server — particularly for migration source environments. • Strong SQL skills; familiarity with database design, application concepts and schema management for PostgreSQL and Oracle. • Linux system administration skills (Ubuntu, CentOS, Red Hat, Debian), including scripting (Bash, Python or equivalent). • Hands-on experience with at least one major cloud provider (AWS, Azure or GCP) and core modern data stack tools (e.g. Snowflake, Databricks, BigQuery, dbt). • Strong proficiency in Python or Scala, and advanced SQL. Experience building batch and/or real-time data pipelines. • Solid understanding of data warehousing concepts, data modelling (Star/Snowflake schema) and data architecture principles. • Experience working with data science libraries (Pandas, NumPy, Scikit-Learn, PyTorch) and a working understanding of deploying or integrating AI/ML models.

🏖️ Benefits

• Access to CuraLinc to aid employees in health and wellness tips and practices • Wellness Fridays extending to December 2026