Insight Global
Data Solutions Architect (Charlotte)
Insight Global, Charlotte, North Carolina, United States, 28245
Must Haves:
6+ years experience in understanding and working with Data Platforms and Data Applications.
Experience hands-on developing actual prototypes
Proficient in data modeling methodologies including dimensional modeling (Star and Snowflake schemas), Data Vault, 3NF, Kimball and Inmon approaches, and designing slowly changing dimensions (SCDs) for tracking historical data changes.
Expertise in Big Data tools including Hive for SQL-like queries on Hadoop, Pig for data flow scripting, Flink for stateful computations, Storm for real-time stream processing, MapReduce programming paradigm, Kafka for distributed event streaming, and PySpark for Python-based Spark programming, enabling efficient processing of large-scale datasets.
Experience designing and building big data architectures and data platforms.
Strong proficiency in
Python
for data processing and scripting. Practical experience with
Apache Spark
for large-scale data transformation. Ability to develop data visualizations and dashboards with
JavaScript . Familiarity with data pipeline management, data cataloging, data lineage, and data quality tools
Plusses: Knowledge of
graph processing
and
graph stores
is a plus. Basic understanding of
Java Spring Boot
is good, but not a requirement. Exposure to
open data, linked data
and frameworks such as
Apache Jena cloud
platforms is a huge plus. Collibra experience Open Meta Data frameworks such as Apache Atlas, Datahub, Marquez and Open lineage Prior Risk experience
consumer side of risk
Day to day: Under the GRM DSM Executives leadership, the Data Support Manager will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment and be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.
Responsibilities: Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture. Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services. Design data products to provide high quality data for quantitative modeling solutions for GRM. Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain. Evangelize and design new data solutions and capabilities to support risk lines of businesses. Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture. Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts. Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical) Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.
Python
for data processing and scripting. Practical experience with
Apache Spark
for large-scale data transformation. Ability to develop data visualizations and dashboards with
JavaScript . Familiarity with data pipeline management, data cataloging, data lineage, and data quality tools
Plusses: Knowledge of
graph processing
and
graph stores
is a plus. Basic understanding of
Java Spring Boot
is good, but not a requirement. Exposure to
open data, linked data
and frameworks such as
Apache Jena cloud
platforms is a huge plus. Collibra experience Open Meta Data frameworks such as Apache Atlas, Datahub, Marquez and Open lineage Prior Risk experience
consumer side of risk
Day to day: Under the GRM DSM Executives leadership, the Data Support Manager will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment and be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.
Responsibilities: Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture. Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services. Design data products to provide high quality data for quantitative modeling solutions for GRM. Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain. Evangelize and design new data solutions and capabilities to support risk lines of businesses. Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture. Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts. Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical) Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.