Urgent Director

3 weeks ago


Bengaluru, Karnataka, India VidPro Consultancy Services Full time
Job Description

Experience: 1525 Years

Locations: Hyderabad, Pune, Bangalore

Work Mode: Hybrid

Role Overview

We are hiring a Director / Associate Director Data Engineering to lead the architecture, delivery, and team management across multiple data engineering engagements. The ideal candidate will bring deep expertise in designing modern data platforms, building scalable data pipelines, and leading teams across technologies and cloud environments (AWS, Azure, or GCP).

This is a client-facing leadership role focused on delivering enterprise-scale data engineering solutions and growing high-performing teams.

Key Responsibilities

- Lead end-to-end data engineering strategy and solution delivery for multiple projects.
- Collaborate with enterprise clients to define data architectures, platform modernization strategies, and transformation roadmaps.
- Drive the design and implementation of cloud-native data pipelines, data lakes, and data warehouses.
- Manage project budgets, resourcing, timelines, and stakeholder communications.
- Build, lead, and mentor high-performing data engineering teams across cloud platforms.
- Define and enforce engineering standards, governance, and best practices.
- Ensure quality, scalability, and performance across all data solutions.

Required Skills & Qualifications

Experience & Leadership:

- 1015 years in data engineering or data platform development, including at least 3+ years in director-level or senior leadership roles.
- Proven success in delivering large-scale, cloud-based data solutions.
- Strong people leadership, client management, and delivery ownership experience.

Data Engineering & Tools

- Strong experience building ETL/ELT pipelines using tools like Spark, PySpark, Python, SQL, Airflow, dbt, etc.
- Solid knowledge of data lake/lakehouse/warehouse architectures.
- Experience with batch and real-time streaming data processing.
- Strong data modeling (star/snowflake schema), data partitioning, and performance tuning.

Cloud & Platform Expertise

- Experience with any major cloud provider AWS, Azure, or Google Cloud Platform (GCP).
- Deep understanding of cloud-native data architecture, including storage, compute, networking, and security considerations.
- Hands-on experience with services like:

- AWS: Redshift, Glue, S3, Lambda, EMR, Kinesis
- Azure: Data Lake, Synapse, ADF, Databricks, Event Hub
- GCP: BigQuery, Dataflow, Pub/Sub, Composer

Governance & Quality

- Knowledge of data cataloging, data quality, lineage, and governance frameworks.
- Familiarity with security and compliance requirements (e.g., GDPR, HIPAA) in data platforms.

Preferred Qualifications

- Certifications in cloud platforms (AWS, Azure, or GCP).
- Experience with CI/CD pipelines, DevOps for data, and infrastructure as code (Terraform/CloudFormation).
- Exposure to analytics and BI tools (Power BI, Tableau, Looker).
- Familiarity with data mesh, data fabric, or modern data architecture patterns.

Skills: azure,spark,data quality,data warehouses,terraform,data governance,airflow,python,ci/cd,elt,architecture,dbt,leadership,data engineering,data modeling,data architecture,cloudformation,pyspark,cloud platforms,data lakes,sql,gcp,etl,pipelines,devops,cloud,aws
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