Manager - Financial Data Engineering & BI

Riveron riveron.com Open

Hybrid India BangalorePune Full-time Manager Data Engineering

At a glance

Manager-level Data Engineering role at Riveron. India · full-time.

Pay not stated Data Engineering salary

RoleData Engineering

SeniorityManager

LocationIndia

WorkplaceHybrid

EmploymentFull-time

PostedNov 4, 2026

Also hiring inBangalore, Pune

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Run offshore client work from initial scope through planning, delivery checks and deadlines, raising risks with onshore leads early
Direct engineers and BI developers by assigning people, dividing work and setting daily priorities across engagements
Turn close, FP&A, revenue, AP/AR and consolidation needs into data structures, pipelines and dashboards
Build data pipelines and warehouse or lakehouse solutions, then create Power BI or Tableau models and executive reports
Check models, transformation logic and reports, and reconcile financial outputs against source systems and the general ledger

What you bring

At least eight years across finance and data or BI work, including substantial time in finance, accounting or a related practice
Strong accounting knowledge spanning the general ledger, trial balances, financial statements, forecasting and month-end close
A degree in finance, accounting, commerce or a related subject
Hands-on use of two or more listed data platforms, plus advanced SQL, data modeling and strong Power BI or equivalent BI skills
Experience guiding a small team or serving as technical lead on client work, with working Python or PySpark knowledge

Who this fits

This manager role suits someone who combines finance and data skills with client delivery leadership and hands-on technical work. You’ll guide a team and work directly with onshore stakeholders. The role is hybrid in India.

From the employer

About the Role - We are looking for a Manager with 8 years of total experience who combines finance depth (accounting, FP&A, financial reporting) with hands-on data engineering and BI skills. You will lead client delivery, guide a team of engineers and analysts, and work closely with onshore teams. This is mix of technical and finance role. You must understand why a reconciliation breaks, what a P&L hierarchy should look like, and how to build the pipeline and report that gets it right.

Delivery leadership

Own end-to-end offshore delivery for assigned client engagements, including scoping, planning, execution, quality, and timelines
Manage and lead a team of data engineers and BI developers, including resource allocation, work distribution, and day-to-day task prioritization across projects
Translate finance and business requirements (close, FP&A, revenue, AP/AR, consolidation, KPI reporting) into data models, pipelines, and dashboards
Review the team’s technical work, including data models, transformation logic, and report design, for accuracy and best practices
Anticipate risks, manage scope, and escalate early to onshore stakeholders

Technical contribution

Design and build data pipelines and warehouse/lakehouse solutions on Microsoft Fabric, Snowflake, Databricks, and Azure
Build and optimize semantic models and executive-grade BI reports, primarily in Power BI/Tableau
Develop data prep and automation workflows (Alteryx experience is a plus)
Lead data validation and reconciliation to ensure financial reports tie to source systems and the general ledger
Work with ERP and finance source data such as NetSuite, Sage Intacct, and Salesforce

Required Qualifications

8+ years of total experience, with a meaningful part in finance/accounting (FP&A, financial reporting, controllership, or finance transformation) and data/BI roles
Strong grounding in accounting and finance concepts: GL, trial balance, P&L and balance sheet structures, budgeting and forecasting, revenue and cost allocation, and month-end close
Degree in finance, accounting, commerce, or a related field. CA, CMA, CPA, or MBA (Finance) is a strong plus
Hands-on experience with at least two of: Microsoft Fabric, Snowflake, Databricks, Azure data services
Advanced SQL and strong data modeling skills (dimensional modeling, star schema)
Strong Power BI skills (DAX, semantic modeling, performance tuning), or equivalent BI tool experience
Working knowledge of Python or PySpark for transformation and automation
Proven experience leading or mentoring a small team or acting as a technical lead on client projects.
Excellent written and verbal communication, with the ability to work directly with onshore business stakeholders

About Riveron:

At Riveron, we partner with clients—from global multinationals to high-growth private entities—to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.

Want to stay connected with Riveron? Join our Talent Community to learn more about our growing firm and be considered for future opportunities.

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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.

Full time roles are eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO. A complete description of all available benefits can be found at Riveron's Benefits page at https://riveron.com/riveron-life/. Contract roles are not eligible for benefits.

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