Data Solutions Engineering Lead — Tax & Accounting

Itero Group, LLC; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health & Wellness

Paid Time Off

401(k) with company match

Disability & Life Insurance

Pet insurance

Student loan assistance

FSAs/HSAs

Job summary

Itero Group in New York seeks a Senior Manager, Data Solutions Engineering focusing on Tax & Accounting. Lead hands-on data engineering while mentoring engineers, delivering cloud-based data solutions using Snowflake, Databricks, and SQL, and collaborating with stakeholders.

Ideal candidate has 8+ years in data engineering with leadership experience, strong SQL and Python, experience with Azure/AWS, and a track record of delivering scalable ELT/ETL pipelines for financial services.

Qualifications

• 8+ years of Data Engineering experience, with demonstrated progression into a technical lead, team lead, or engineering management role.
• 4+ years of hands-on Snowflake development experience.
• Hands-on experience developing and supporting Databricks solutions.
• Demonstrated experience leading and mentoring data engineers or technical delivery teams.
• Experience managing technical workstreams, including priorities, assignments, dependencies, deliverables, and technical quality.
• Ability to remain hands-on technically while providing leadership and oversight to a team.
• Strong SQL expertise, including complex query development and optimization.
• Strong Python development experience.
• Experience building enterprise ELT/ETL pipelines.
• Demonstrated experience analyzing and troubleshooting large, complex datasets and application/system logs.
• Strong ability to identify root causes, performance bottlenecks, and opportunities to develop faster, more efficient data solutions.
• Experience with cloud platforms including Azure and/or AWS; GCP experience is a plus.
• Experience with dbt, Airflow, Git, and CI/CD; Terraform experience preferred.
• Experience working with structured and semi-structured data.
• Strong knowledge of data modeling, including Star Schema, Snowflake Schema, and Kimball methodologies.
• Experience with REST APIs and enterprise data integration.
• Strong troubleshooting, performance tuning, and problem-solving skills.
• Experience working with accounting, tax, finance, or related enterprise platforms and datasets strongly preferred.

Responsibilities

• Lead the design, development, and implementation of client solutions using Snowflake and Databricks.
• Serve as a hands-on technical lead, contributing directly to development while providing technical direction, guidance and mentoring to other team members including engineers.
• Lead, mentor, and coach data engineers, providing guidance on solution design, development standards, troubleshooting, and engineering best practices.
• Help manage team priorities, technical assignments, deliverables, and dependencies to ensure work is completed efficiently and on schedule.
• Review code and technical designs and provide constructive feedback to improve quality, scalability, and maintainability.
• Build and optimize ELT/ETL processes to ingest and transform data from multiple complex enterprise systems.
• Work with large volumes of complex structured, semi-structured, and log data to identify patterns, troubleshoot issues, determine root causes, and develop faster and more efficient solutions.
• Proactively identify performance bottlenecks and inefficient processes and recommend opportunities for automation, optimization, and improved processing speed.
• Develop dimensional data models, data marts, and curated analytical datasets.
• Optimize Snowflake and Databricks solutions for performance, scalability, reliability, and cost.
• Implement data quality, lineage, governance, and security best practices.
• Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate.
• Partner directly with business and technology stakeholders to understand complex reporting, accounting, tax, and analytical requirements and translate them into scalable technical solutions.
• Build reusable data frameworks supporting Accounting, Tax, Finance, Risk, Compliance, Treasury, and Regulatory Reporting.
• Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies.
• Lead or actively participate in solution design sessions, sprint planning, backlog grooming, technical reviews, and other Agile ceremonies.
• Communicate technical issues, risks, recommendations, and delivery status clearly to both technical and non-technical stakeholders.

Skills

Snowflake

Databricks

SQL

Python

ELT/ETL

Data modeling

Azure

AWS

dbt

Airflow

Git

CI/CD

REST APIs

Leadership

Mentoring

Tools

Snowflake

Databricks

Airflow

dbt

Git

CI/CD

REST APIs

Job description

Itero Group in New York seeks a Senior Manager, Data Solutions Engineering focusing on Tax & Accounting. Lead hands-on data engineering while mentoring engineers, delivering cloud-based data solutions using Snowflake, Databricks, and SQL, and collaborating with stakeholders.

Ideal candidate has 8+ years in data engineering with leadership experience, strong SQL and Python, experience with Azure/AWS, and a track record of delivering scalable ELT/ETL pipelines for financial services.