Lead Data Engineer

Assembly Global

. Define and drive the organization’s data vision, strategy, and roadmap.

Posted 10/14/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong focus on data architecture, governance, and compliance. Proven leadership in managing teams and aligning data initiatives with business objectives in cloud environments.

Highest-signal resume keywords

Data Engineering LeadershipSQL ExpertiseCloud Data WarehousingData Governance ComplianceStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignETL/ELT Pipeline DevelopmentPython ProgrammingSQL ProficiencyData Frameworks (PySpark, dbt)Cloud Platforms (AWS, GCP, Azure)Data Quality MonitoringKPI TrackingData Security PracticesData Governance Policies

Soft Skills

LeadershipCommunicationMentoringCollaborationAdvocacy

Tools & Technologies

DatabricksBigQuerySnowflakeRedshiftAirflowPrefect

Industry Keywords

SaaSAdtechConsumer Data PlatformsGDPRCCPA

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Define and drive the organization’s data vision, strategy, and roadmap.
Manage, mentor, and grow a team of data engineers, analysts, and scientists.
Partner with product, engineering, and business stakeholders to align data initiatives with company goals.
Lead the design, development, and maintenance of scalable ETL/ELT pipelines.
Oversee data architecture across cloud platforms and tools including AWS, GCP, Azure, Databricks, Snowflake, and BigQuery.
Ensure high availability, performance, and cost efficiency of data platforms.
Establish and enforce data governance policies, security standards, and compliance.
Implement monitoring, testing, and alerting frameworks for data quality and reliability.
Enable stakeholders with clean, reliable, and timely data for decision-making.
Define and track key product, business, and operational KPIs.
Promote a data-driven culture across teams through training and advocacy.

Requirements

What you’ll need

7+ years of experience in data engineering, analytics, or related roles, with at least 2+ years in a leadership capacity.
Strong expertise in SQL, Python, and modern data frameworks (e.g., PySpark, dbt).
Hands-on experience with cloud data warehouses (Databricks, BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Databricks, Prefect).
Proven ability to design and manage data architecture at scale (batch + streaming).
Deep understanding of data governance, compliance (GDPR/CCPA), and security practices.
Excellent leadership, communication, and stakeholder management skills.
Experience working in fast-paced environments, ideally in SaaS, adtech, or consumer data platforms.

Benefits

Comp & perks

Annual Leave in number of 15 allotted to all employees beginning of every calendar year.
Sick Leave in number of 12 is allotted effective DOJ and beginning of ever calendar year.
Other Leaves-Maternity Leave & Paternity Leaves, Birthday Leave Entitlement
Dedicated L&D Budget for all Teams to upskill & get certified
All employees are entitled for Group Personal Accident Cover & Life Cover Insurance.
Insurance coverage for the entire family (Employee + up to 7 dependents - Self, Spouse, up to 4 children, and Parents)
Monthly Cross Team Lunch
Rewards and Recognition program-Employee of the month, Star Performer, Tenure Celebration & many more