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Summary:
Kroll's Enterprise Data Group is looking for a Director, Data Architecture. Reporting to the Managing Director, Data Delivery, this person has extensive leadership experience and a rigorous technical sense to lead a team of engineers as well as the technical experience to architect and build. This person will be working alongside the Data Management, Demand and Governance teams and should have knowledge in each of these areas. Our team will be primarily focused on:
Building scalable functions, fault tolerant batch & real time data pipelines to validate/extract/transform/integrate large scale datasets inclusive of location and time series data, across multiple platforms
Optimize and expand Kroll's data platform, which will span across multiple cloud providers and services, data warehouses, and applications
RESPONSIBILITIES:
Setting up an enterprise level data strategy, including:
Governance
Legal and privacy
Regulatory compliance such as GDPR.
Risk management
Data Architecture
ER Diagram
Database architecting
Data Lake, EDW, and new related tech
Automation
Cloud-first
Big data analytics
Pre-build discovery and design
Build
Post-build support
Spark, Hadoop concepts
Delivery leadership
Stakeholder engagement
Bridging client requirements and dev expectations
Ensuring on-time delivery
Manage third-party vendors
Data Products
Understanding business needs
Transforming data into products
Understanding data GTM strategy
Knowledge on Automation
RPA and Intelligent Process Automation
ML and AI
Grow and lead a broad-based data team to success
Data scientists
Data engineers
Data analysts
Data stewards
Data visualization engineers
Work with project managers, product owners, business teams, data scientists, engineers, and data stewards to deliver data solutions
Leading global teams
REQUIREMENTS:
Team and project leadership experience
Experience in setting up enterprise level data lake using any Bigdata platform like Hadoop, Azure Data Lake and etc...
Should be able to understand and guide the teams in implementation of Data Lake and ELT concepts in Cloud using ADB, ADF, Python, PySpark and etc.
Expertise with Azure in the Data lifecycle & AI domain - like Data Migration, Data Transformation, Data Modernization, Modern Data Warehouse, Analytics, Azure ML, etc.
Deep understanding of data architecture, data security and modern processing techniques using data pipelines
Ability to discover, analyze, and find data patterns and turn them into data products
Experience using data to modernize a financial business
Quick to understand business needs and learn domain specific knowledge
Experience dealing with financial data products is a huge plus
Experience with business or process analysis
Experience leading with Scrum teams
Excellent communication skills
DESIRED SKILLS:
Experience working as a data architect or data engineer
Experience with Python/ PySpark ,Scala
Experience in setting up Enterprise data warehouse
Experience with ETL/ELT using various Cloud technologies
Experience with data visualization tools like Power BI or Tableau
Experience with Data Lake, Delta Lake, databricks, spark, Hadoop
Experience in designing ER diagrams, database architecting
Experience of databases: relational and non-relational databases.(oracle, sql, postgres, cosmosdb)
Knowledge on Python libraries like Pandas, Numpy, spaCy or NLTK
Knowledge on snowflake, lakehouse
Cloud experience, especially Azure
Scrum, Agile, PMP, Data Analytics Certifications
In order to be considered for a position, you must formally apply via careers.kroll.com.
Kroll is committed to creating an inclusive work environment. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.