Senior Consultant, Professional Services

04 ago - Prato
Experteer Italy

Experteer Overview

In this role you will blend Postgres database consulting with modern data engineering to support EMEA customers. You will assess deployments, run migrations, and design HA/DR, performance, and security solutions that enable reliable data and analytics workloads. You will work hands‑on with customers to upgrade systems, implement data pipelines, and embed AI/ML capabilities into Postgres-based ecosystems. This is a customer‑facing, technically hands‑on opportunity to shape large‑scale data and analytics transformations at enterprise scale.

Retribuzione / Benefits

- Assess customer Postgres deployments and document runbooks
- Migrate databases from Oracle/SQL Server/MySQL to PostgreSQL including schema and data
- Design and test High Availability architectures using EFM/Patroni/PGD
- Tune performance and optimize OS/database configurations
- Implement backup/recovery, upgrades, and patching
- Evaluate security requirements and advise on authentication, encryption, access control
- Assist in upgrading applications to latest Postgres features
- Develop Professional Services proposals and contribute to pre‑sales
- Build scalable data pipelines and analytics platforms from inception to deployment
- Configure underlying data infrastructure (storage, compute,



cloud data warehouses) and tune performance
- Develop analytics dashboards and BI/reporting mechanisms
- Integrate AI/ML capabilities, LLMs, RAG pipelines into data ecosystems
- Ensure data quality, governance, security and performance across deliverables

Responsabilità
- 2–5 years for Consultant level or 5–8+ years DBA/data engineering for Senior Consultant
- PostgreSQL administration, performance tuning, HA/replication
- Experience with Oracle and/or SQL Server migrations
- Strong SQL and database design knowledge
- Linux system administration xysqume and scripting (Bash, Python)
- Hands‑on cloud experience (AWS/Azure/GCP) and modern data tools (Snowflake, Databricks, BigQuery, dbt)
- Proficiency in Python or Scala and advanced SQL
- Experience building batch/real‑time data pipelines
- Understanding of data warehousing and data modeling (Star/Snowflake)
- Experience with data science libraries and deploying AI/ML models
- Excellent English communication; second European language a plus (Italian preferred)

Requisiti fondamentali
- Wellness Fridays through Dec 2026
- CuraLinc health and wellness support

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