About the Role

Provide high level technical Tier 3 escalation for Acxiom custom-built applications and software products. Interact directly with multiple technical support and client Teams to own the resolution of the most complex, ambiguous platform, data and support issues. Provide deep architectural troubleshooting across a diverse ecosystem of proprietary and enterprise software components, custom-engineered code bases, and multiple programming languages, ensuring the high availability and performance of cloud and hybrid on-prem data solutions leveraging Cloudera, Dagster + dbt, Databricks and Snowflake environments.

What You Will Do

- Independently drive diagnosis, engineering, and deployment of code modifications, bug fixes and configuration changes across complex enterprise client solutions and custom-built applications with minimal supervision.
- Independently drive technical investigations via logging and research to isolate and resolve and correct complex, anomalies related to data and software failures. Leading and assisting in partnering with DevOps, Product Engineering, and associated support Teams to perform comprehensive Root Cause Analysis and build out proactive monitoring frameworks to prevent future occurrences.
- Lead and help accelerate the deployment of custom client solutions, ensuring all current implementations strictly adhere to established platform standards and engineering best practices.
- Major Incident response and On-Call issue escalation resolution

What You Will Have

- 5+ years of direct Databricks support experience including performance tuning, troubleshooting, and pipeline orchestration.




- 5+ years of direct Snowflake support experience, including warehouse optimization, sizing, data ingestion, and pipeline troubleshooting.
- 5+ years of Cloudera Hadoop knowledge, including Spark, Ranger, Hue, Yarn, pipeline optimization, and tuning support.
- 5+ years of Python project experience, including 3+ years of support related to Dagster + dbt integrations.
- 5+ years of experience with software development and tools, including Node.js, MongoDB, Python, and Spark.
- 5 years of proficiency with GitHub and Git-based workflows.
- 5 years of experience supporting high-pressure, SLA-driven enterprise environments.
- 3+ years of direct data ingestion, transformation, orchestration processing, and pipeline experience with Dagster + dbt, Snowflake, and Databricks integrations.
- 3+ years of direct data or cloud engineering project experience across cloud environments (AWS and GCP).
- 3+ years of Infrastructure as Code (IaC) deployment experience.
- 2+ years of technical experience with Citrix environments.
- Required Certification: Must hold an active Databricks Certified Data Analyst or a Snowflake SnowPro Advanced: Data Analyst credential.

What Will Set You Apart

- Data Lake & Architecture Experience:



Hands-on experience with data lake environments and demonstrated production ETL processing, including schema validation and integrity.
- Advanced Data Scripting: Demonstrated proficiency writing data manipulation and automation scripts including PySpark and Snowpark.
- 3+ years of direct experience deploying, managing, and troubleshooting tools across the enterprise ecosystem, specifically Tableau, Unica, Jenkins, and Google Pub/Sub.
- 2+ years of hands-on experience building, maintaining, or supporting automated software testing frameworks.
- 2+ years of experience configuring and supporting security and setup within Databricks Unity Catalog.
- 2+ years of experience configuring and troubleshooting Identity and Access Management (IAM), Single Sign-On (SSO), and identity provider platforms like Okta.
- Demonstrated Advanced Problem-Solving: A proven ability in Production to autonomously untangle ambiguous system failures, reverse-engineer custom code bases, and independently drive resolutions under minimal direction.
- Google Cloud Experience: Technical familiarity or support experience operating workloads within Google Cloud Platform (GCP) environments
- Cloud Data Certification: Active AWS Certified Data Engineer certification.

Desired Software Related Skills

- Languages, Database and Frameworks: SQL, Python, PySpark, Snowpark, Scala, Perl, Oracle, React, Spring Framework
- Infrastructure, CI/CD & Security: Kubernetes, Docker, Terraform, Jenkins, Cursor, Veracode
- Operations, Service & Logging: ServiceNow, Observe, Coralogix, OpenSearch Logging

📌 Support Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad