Senior Manager, Data Solutions Engineering – Tax & Accounting
Posted 2026-09-15 · Verified live 2026-09-26
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<p><strong>About us</strong></p>
<p>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.<br><br>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.<br><br>We have been named a Great Place to Work for six years, and offer a competitive salary and benefits package. </p><p>Itero Group is seeking an experienced Senior Manager, Data Solutions Engineering - Tax & Accounting to support enterprise data modernization initiatives for leading Financial Services clients. This individual will serve as a <strong>hands-on technical lead</strong>, designing and optimizing cloud-based data solutions while providing day-to-day leadership, mentoring engineers, and helping drive successful delivery across complex client engagements.</p>
<p>The ideal candidate combines deep hands- on experience with <strong>Snowflake, Databricks, SQL, Python, and enterprise data engineering</strong> with the ability to <strong>lead and mentor technical teams, manage priorities and deliverables, and work directly with client stakeholders</strong>. Experience with accounting, tax, finance, or related enterprise platforms is highly desirable.</p>
<p>Key Responsibilities</p>
<ul>
<li>Lead the design, development, and implementation of client solutions using Snowflake and Databricks.</li>
<li>Serve as a hands-on technical lead, contributing directly to development while providing technical direction, guidance and mentoring to other team members including engineers.</li>
<li><strong>Lead, mentor, and coach data engineers</strong>, providing guidance on solution design, development standards, troubleshooting, and engineering best practices.</li>
<li>Help manage team priorities, technical assignments, deliverables, and dependencies to ensure work is completed efficiently and on schedule.</li>
<li>Review code and technical designs and provide constructive feedback to improve quality, scalability, and maintainability.</li>
<li>Build and optimize ELT/ETL processes to ingest and transform data from multiple complex enterprise systems.</li>
<li>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.</li>
<li>Proactively identify performance bottlenecks and inefficient processes and recommend opportunities for automation, optimization, and improved processing speed.</li>
<li>Develop dimensional data models, data marts, and curated analytical datasets.</li>
<li>Optimize Snowflake and Databricks solutions for performance, scalability, reliability, and cost.</li>
<li>Implement data quality, lineage, governance, and security best practices.</li>
<li>Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate.</li>
<li>Partner directly with business and technology stakeholders to understand complex reporting, accounting, tax, and analytical requirements and translate them into scalable technical solutions.</li>
<li>Build reusable data frameworks supporting Accounting, Tax, Finance, Risk, Compliance, Treasury, and Regulatory Reporting.</li>
<li>Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies.</li>
<li>Lead or actively participate in solution design sessions, sprint planning, backlog grooming, technical reviews, and other Agile ceremonies.</li>
<li>Communicate technical issues, risks, recommendations, and delivery status clearly to both technical and non-technical stakeholders.</li>
</ul>
<p><strong>Required Qualifications</strong></p>
<ul>
<li>8+ years of Data Engineering experience, with demonstrated progression into a technical lead, team lead, or engineering management role.</li>
<li>4+ years of hands-on Snowflake development experience.</li>
<li>Hands-on experience developing and supporting Databricks solutions.</li>
<li>Demonstrated experience leading and mentoring data engineers or technical delivery teams.</li>
<li>Experience managing technical workstreams, including priorities, assignments, dependencies, deliverables, and technical quality.</li>
<li>Ability to remain hands-on technically while providing leadership and oversight to a team.</li>
<li>Strong SQL expertise, including complex query development and optimization.</li>
<li>Strong Python development experience.</li>
<li>Experience building enterprise ELT/ETL pipelines.</li>
<li>Demonstrated experience analyzing and troubleshooting large, complex datasets and application/system logs.</li>
<li>Strong ability to identify root causes, performance bottlenecks, and opportunities to develop faster, more efficient data solutions.</li>
<li>Experience with cloud platforms including Azure and/or AWS; GCP experience is a plus.</li>
<li>Experience with dbt, Airflow, Git, and CI/CD; Terraform experience preferred.</li>
<li>Experience working with structured and semi-structured data.</li>
<li>Strong knowledge of data modeling, including Star Schema, Snowflake Schema, and Kimball methodologies.</li>
<li>Experience with REST APIs and enterprise data integration.</li>
<li>Strong troubleshooting, performance tuning, and problem-solving skills.</li>
<li>Experience working with accounting, tax, finance, or related enterprise platforms and datasets strongly preferred.</li>
</ul>
<p>Financial Services Experience</p>
<p>Candidates should possess experience supporting one or more of the following:</p>
<ul>
<li>Banking</li>
<li>Commercial or Investment Banking</li>
<li>Capital Markets</li>
<li>Asset or Wealth Management</li>
<li>Insurance</li>
<li>FinTech</li>
</ul>
<p>Experience supporting <strong>Accounting, Tax, Finance, Treasury, Risk, or Regulatory Reporting platforms and processes</strong>within complex enterprise environments is highly desirable.</p>
<p>Leadership & Management Experience</p>
<ul>
<li>Demonstrated experience leading, mentoring, and developing technical team members.</li>
<li>Ability to provide technical direction while empowering engineers to independently solve problems.</li>
<li>Experience managing multiple priorities and coordinating work across technical teams.</li>
<li>Ability to identify skills gaps, provide coaching, and raise the overall technical capabilities of the team.</li>
<li>Experience reviewing technical designs and code and establishing engineering standards and best practices.</li>
<li>Ability to manage delivery expectations, escalate risks appropriately, and help keep projects on schedule.</li>
<li>Comfortable operating as both a technical leader and hands-on engineer.</li>
</ul>
<p>Consulting Experience</p>
<ul>
<li>Experience working within a Big Four or similar consulting environment strongly preferred.</li>
<li>Demonstrated ability to lead technical workstreams within complex client engagements.</li>
<li>Experience working directly with client stakeholders and senior leadership.</li>
<li>Ability to gather requirements from business stakeholders, including accounting, tax, finance, and technology teams.</li>
<li>Experience leading client workshops and solution design sessions.</li>
<li>Ability to translate complex business and data challenges into practical, scalable technology solutions.</li>
<li>Excellent verbal and written com</li></ul>
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