Overview

Sr. Manager, Data & Integrations

Responsibilities

• 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 work.
• Track and balance capacity and workload across the India team, coordinating handoffs and shared work with U.S. shifts to keep delivery continuous across time zones.
• Represent the India team in global roadmap, planning, and prioritization discussions, bringing India-specific context and constraints into those conversations.
• Serve as an escalation point for production data and integration issues originating from or affecting the India team, coordinating incident response with U.S. counterparts as needed.
• Promote adoption of AI-assisted development and automation tools, and establish metrics to improve engineering productivity and delivery reliability.
• Collaborate cross-functionally with architecture, security, integrations, and analytics stakeholders in both India and the U.S. to ensure platform effectiveness and data integrity.

Qualifications

• Typically requires a
• Bachelor's degree and 8-10 years of direct
• experience in data engineering, data platform engineering, or integration engineering, with 4+ years of people management experience, including experience managing distributed or cross-regional teams.
• 8-10+ years of professional experience spanning both data engineering/data platform work and systems integration work.
• 4+ years of direct people management experience, including hiring, coaching, and performance management.
• Proven experience managing distributed or cross-regional teams, ideally coordinating with U.S.-based counterparts across time zones.
• Well-versed in both the data side of the house (e.g., Databricks, Snowflake, Fivetran, dbt, Hightouch) and the integrations side of the house (system-to-system data integrations, ideally with Workato).
• Principal-level depth on the data architecture side: strong understanding of medallion architecture, data mesh, dimensional modeling (star and snowflake schemas), data cubes, and materialized views.
• Expert-level SQL and strong hands-on experience with PySpark, sufficient to guide and review complex data engineering and data architecture work.
• Understanding of data lifecycle management, retention/archival policies, and storage/compute cost optimization.
• Deep understanding of APIs, including designing, securing, and structuring them for reliable, automated execution.
• Strong understanding of source and target schema design and mapping for system-to-system integrations.
• Strong problem-solving skills with the ability to independently address complex, cross-regional challenges.
• Excellent communication and stakeholder management skills across geographies, time zones, and cultures.
• Demonstrated ability to translate global priorities and standards into local execution plans.
• Familiarity with streaming/real-time data technologies (e.g., Kafka, Event Hubs) as a complement to batch pipeline experience
• Hands-on experience with big data ecosystem services such as Hadoop, Hive, HBase, YARN, and Spark
• Professional services or customer-facing implementation experience
• Position Details
• Physical Demands: Prolonged periods of sitting at a desk and working on a computer.
• Travel Required: Yes, up to 15% travel may be required, including periodic travel to the U.S. for team and stakeholder alignment.
• Work Authorization: Employee must be legally authorized to work in India.
• FLSA Classification: Exempt
• Location: India (Hybrid/Remote)
• Internal Job Title: Sr. Manager, Data & Integrations
• Effective Date: [Insert Date]
• About Isolved

Nice to have

• Direct hands-on experience with Workato