Alation Data Jobs

2 jobs found

2mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Senior) (Multiple Positions)

EY Charlotte, NC

Charlotte, NC

2mo ago Closed

$136k - $136k/yr Full time Alation Analyst Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Senior Data Analyst in EY's Technology Consulting, Data & Analytics practice, with a focus on Data Governance and Controls for Financial Services. The role involves shaping data strategies and delivering end-to-end data solutions for clients within this domain.

Role Overview

The position centers on designing and implementing data programs that strengthen governance, lineage, quality, and risk controls while enabling advanced analytics and information-driven decision making for financial services clients.

Responsibilities

Collaborate with clients to transform data usage by architecting data strategies and delivering end-to-end solutions that enhance the data supply chain, reengineer processes, improve risk controls, and enable information intelligence through advanced technologies.
Address complex challenges and drive growth across the financial services sector.
Define data and analytics strategies by conducting assessments, recommending remediation plans based on gap analysis, and designing and implementing future-state data and analytics solutions.
Develop relationships with client personnel at appropriate organizational levels.
Monitor progress, manage risk, and keep stakeholders informed about progress and expected outcomes.
Set and manage expectations for client service delivery.
Stay informed about current business and industry trends relevant to the client’s operations.
Provide technical guidance and share knowledge with team members from diverse backgrounds.
Deliver high-quality client services on complex, judgmental, or specialized issues.
Demonstrate technical capabilities and professional knowledge.
Learn about EY and its service lines, and identify opportunities to apply knowledge and services.

Qualifications

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field, with 2 years of related work experience; or a Master's degree in the same fields with 1 year of related work experience.
At least 1 year of experience in the banking, capital markets, insurance and/or asset management industry.
At least 1 year of experience in one or more of the following areas:
- Distributed processing (Spark, Hadoop, EMR)
- Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
- MPP (AWS Redshift, Teradata)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
- Cloud platforms (AWS, Azure, Google Cloud, Databricks)
- Data governance, lineage and quality tools (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, Big ID)
One year of experience with technologies, frameworks, or methodologies for data ingestion, storage, mining, warehousing, big data analytics, manipulation, or visualization.
One year of experience in product and/or project management across lifecycle stages (requirements, design, development, testing).
One year of experience quantifying business improvements through analytics or statistical modeling.
Willingness to travel domestically and regionally up to 60 percent to meet client needs.
Employer will accept any suitable combination of education, training or experience.

Technologies

Spark
Hadoop
EMR
MS SQL Server
Oracle
MySQL
PostgreSQL
AWS Redshift
Teradata
MongoDB
DynamoDB
Cassandra
Neo4J
Titan
AWS
Azure
Google Cloud Platform
Databricks
Collibra
Solidatus
Informatica
Alation
Snowflake
Ab Initio
One Trust
Big ID

Benefits

Base salary
Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Hybrid work model (team-led and leader-enabled)
Flexible vacation policy
EY paid holidays time off
Winter and summer breaks
Personal and family care leave
Other leaves of absence for well-being

Location

Charlotte, North Carolina, with a hybrid work arrangement.

Travel Requirements

Domestic and regional travel up to 60 percent to meet client needs.

Salary

USD 136,282 per year.

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2mo ago

Data Engineer

Steel Warehouse South Bend, IN

South Bend, IN

2mo ago Closed

Full time Alation Analytics Azure Data Factory

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Steel Warehouse is expanding its data capabilities with a Data Engineer who will design, build, and optimize scalable data pipelines and architectures. This role enables the consolidation of diverse data sources, supports analytics, and fosters data-driven decision making through big data technologies and cloud platforms. The position is based onsite in South Bend, IN.

Responsibilities

Design, develop, and maintain robust ETL or ELT pipelines to ingest, transform, and load data from multiple sources
Construct and optimize data models to support analytics and reporting use cases
Ensure data quality, integrity, and reliability via monitoring, validation, and testing
Establish and support data governance practices, including data lineage, cataloging, and metadata management
Enforce data standards, naming conventions, and access controls across datasets
Collaborate with business stakeholders to define data ownership, definitions, and quality expectations
Manage and optimize data storage solutions such as data warehouses, data lakes, and lakehouses
Apply performance tuning and cost optimization strategies
Maintain documentation for data architecture, pipelines, and governance processes
Support deployment and orchestration of data workflows using modern tools
Troubleshoot and resolve data issues in a timely manner

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience working with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts including star schema and normalization
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Technologies

SQL
Python
Spark
Azure
AWS
GCP
Snowflake
BigQuery
Redshift
Fabric
Delta Lake
Microsoft Fabric
Microsoft Purview
Collibra
Alation
Airflow
Azure Data Factory

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Tuition reimbursement
Vision insurance

Education & Experience

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms (Azure, AWS, or GCP)
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts (star schema, normalization)
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Work Location

Work location: In person in South Bend, Indiana (onsite)

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