Job Description
Sr. Manager, Data & Integrations
Summary/Objective
The Sr. Manager, Data & Integrations is the people leader and delivery owner for isolved's India-based data and integrations personnel. This role is fluent across both sides of the house: on the data side, this person needs to operate at the same architectural depth expected of isolved's Principal Data Architect, including medallion architecture, data mesh, dimensional modeling, data lineage, integrity, and governance, alongside hands-on fluency in Databricks, Snowflake, Fivetran, dbt, and Hightouch; and on the integrations side (system-to-system data integrations, ideally built on Workato, with deep API understanding, source and target schema design, master data management, and golden record configuration and management). This person owns hiring, coaching, and performance management for all India personnel on the data and integrations teams, and partners closely with U.S.-based counterparts, including the Manager, Data & Analytics Engineering and the Principal Platform Architect and Principal Data Architect, to coordinate workload distribution, execution, and planning across time zones so that the India team operates as a fully integrated extension of isolved's global data and integrations organization.
Core Job Duties
Serve as the primary people leader for all India-based personnel on the data and integrations teams, spanning data platform, data engineering, and integration automation disciplines.
Conduct 1:1s, performance reviews, and career development planning to support the growth of the India team.
Hire, onboard, and build a high-performing, collaborative India-based data and integrations organization.
Set clear expectations, provide direct feedback, and address performance issues effectively.
Partner with U.S.-based counterparts, including the Manager, Data & Analytics Engineering and the Principal Platform Architect and Principal Data Architect, to coordinate workload distribution, execution, and planning across time zones.
Ensure consistent standards, practices, and quality bar between the India and U.S. data and integrations teams.
Own delivery of system-to-system data integrations, ideally built on Workato, including source and target schema design and mapping between isolved and its ecosystem of ERP, CRM, and partner systems.
Own master data management and golden record configuration and management practices for the India team's scope of work, applying matching, deduplication, and survivorship standards.
Maintain deep, working knowledge of APIs, including how to design, secure, and structure them for reliable, scalable, automated execution.
Oversee data platform and analytics engineering work in India, including administration and support of Databricks, Snowflake, Fivetran, dbt, and Hightouch.
Own data architecture standards for the India team's scope of work, including medallion architecture, data mesh, dimensional modeling (star and snowflake schemas), data cubes, and materialized views, in partnership with the Principal Data Architect.
Own data lineage, integrity, and cleanliness standards for India-delivered data work, and ensure the team applies data governance and cataloging practices (e.g., Microsoft Purview, Collibra, or Alation) consistently with global standards.
Apply data quality and testing frameworks (e.g., Great Expectations, dbt tests) to catch and resolve data issues before they reach downstream consumers.
Ensure the India team's data pipeline work spans the full lifecycle, from ingestion through transformation, storage, and downstream consumption, including batch and, where appropriate, real-time/streaming patterns.
Factor data lifecycle, retention, archival, and storage/compute cost optimization into architecture and delivery decisions.
Maintain expert-level fluency in SQL and strong hands-on fluency in PySpark, sufficient to review, guide, and, when needed, directly contribute to complex data engineering and data architecture…