Data Solution Engineering Lead

Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions.
Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change - in our company, for our clients, throughout our career-and we empower people to express their ideas, create better practices, innovate better products, and become better professionals.
We have been named a Great Place to Work for six years, and offer a competitive salary and benefits package.

Itero Group is seeking an experienced
Data
Solution
Engineering Lead
to support enterprise data modernization initiatives for leading Financial Services clients. This individual will serve as a
hands-on technical lead
, designing and optimizing cloud-based data solutions while providing day-to-day leadership, mentoring engineers, and helping drive successful delivery across complex client engagements.

The ideal candidate combines deep hands-on experience with
Snowflake, Databricks, SQL, Python, and enterprise data engineering
with the ability to
lead and mentor technical teams, manage priorities and deliverables, and work directly with client stakeholders
. Experience with accounting, tax, finance, or related enterprise platforms is highly desirable.

• 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.

• 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 work streams, 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.
• 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…