Solution Architect Data

Must Have Skills

AWS

Databricks

pyspark

notebook UNITY catalog

Secondary Nice To Have Skills NOT MANDATORY

Informatica

MIDAS

Commercial insurance case management environments IAG background

Soft Skills

Strong communication both verbal and written

Stakeholder management

Able to guide and influence processes

Handson manual and detailoriented approach proficient with Excel email forms

3 Qualifying Questions

1How many AWS Databricks projects have you been part of and what all roles you have played

2How comfortable are you in Databricks pyspark notebook UNITY catalog hands role or highlevel understanding

3How many projects have you been part of as Databricks lead

4This role requires 3 days to client location is it ok with you

Role Summary

Data Specialist to support assessors and analysts by collecting and structuring data that represents risk and enabling informed decisions on what risk can be transferred to insurers The goal is to digitize and standardize risk data currently scattered across multiple unstructured sources and make it easily accessible and usable across the organization

Key Responsibilities

Collect and consolidate risk related data from unstructured sources into structured formats aligned to customers data dictionary and reference data

Build digital forms and workflows to capture data consistently

Populate and update central databases data lakes eg Databricks AWS Informatica MIDAS

Ensure data can flow effectively upstream and downstream across teams and systems

Drive data maturity within the team by improving processes and ensuring data is usable for decision making

JOB Description

We are looking for a Reference Data Specialist to join our Data Services team supporting largescale data and analytics initiatives for a leading global organization

This is an opportunity to be part of a high impact transformation program enhancing enterprise wide data quality governance and standardization

What Youll Do

Collaborate with business stakeholders to translate their data use cases into clear business and technical requirements

Analyse enterprise data ecosystems identify current data capabilities and align them with strategic outcomes

Coordinate with data governance and data quality teams to ensure adherence to global standards quality rules and remediation processes

Develop maintain and enhance data dictionaries enumerations reference data and classifications for consistency across systems

Support data governance initiatives by root causing and remediating data quality issues

Document data definitions rules and standards to enable consistent enterprise wide data usage

What Were Looking For

Experience in data design data governance or data management roles

Strong knowledge of data governance principles reference data and data dictionaries

Excellent stakeholder communication and collaboration skills

Familiarity with data modelling data design methodologies and platforms such as Databricks or similar

What Will Set You Apart

Experience within financial services or large enterprise environments

Working knowledge of Agile and SDLC methodologies

Handson experience with data profiling querying Oracle DB2 Databricks and visualization tools

Ability to work independently while managing priorities in a fastpaced setting

Mandatory Skills : AWS EMR AWS Glue AWS S3 Solutioning NFRs