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Accordion

Finance-focused consulting with portfolio operations technology

Senior Technical Director - Data Management

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • An undergraduate degree (B.E./B.Tech.) from a tier-1 or tier-2 institution.
  • 12+ years of relevant experience in data engineering, data architecture, or technology leadership.
  • Deep SQL expertise and strong command of data modeling across relational and columnar databases.
  • Hands-on expertise with multiple modern data platforms, including Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake, Google BigQuery, or AWS Redshift.
  • Experience designing enterprise data lake and lakehouse architectures using open table formats such as Delta Lake and Apache Iceberg on cloud storage such as ADLS, S3, or GCS.
  • Proficiency in cloud-native orchestration tools such as Azure Data Factory, Databricks Workflows, dbt, or Apache Airflow, or equivalent.
  • Experience with streaming platforms such as Apache Kafka, Azure Event Hubs, or AWS Kinesis.
  • Experience overseeing and guiding the design and deployment of MCP (Model Context Protocol) servers for AI agent integration.
  • Ability to define and enforce AI-ready data infrastructure standards across teams and engagements.
  • Ability to responsibly leverage AI tools and champion their adoption across engineering teams.
  • Track record of leading large technical teams, managing senior stakeholder relationships, and driving innovation at scale.

Responsibilities

  • Partner with multiple clients to understand their business challenges and translate them into data architecture requirements and actionable solution roadmaps.
  • Own end-to-end accountability for delivery of data engineering engagements, ensuring projects are executed on time, within scope, and to a high technical standard while proactively managing risks, aligning stakeholders, and maintaining visibility across work streams.
  • Define and govern enterprise-scale data platform architectures, including data lakes, lakehouses using Delta Lake or Apache Iceberg, and modern data warehouses, ensuring alignment with long-term client needs.
  • Lead cross-functional engineering teams to drive end-to-end solution delivery across complex, multi-workstream projects, ensuring quality, timelines, and client satisfaction.
  • Work with business and technology teams to define enterprise KPI frameworks, data governance standards, and metrics aligned with organizational goals.
  • Partner with Project Managers and engagement leads to develop and execute delivery plans across complex, multi-workstream projects.
  • Define and enforce AI-ready data infrastructure standards for governance, lineage, access patterns, and metadata management to enable downstream AI and agentic consumption.
  • Oversee and guide the design and deployment of MCP (Model Context Protocol) servers that expose data platform capabilities to AI agents and LLM-powered workflows.
  • Design and implement Master Data Management (MDM) and data governance frameworks that ensure data quality, consistency, ownership, and compliance across the enterprise.
  • Champion responsible use of AI tools across the team and set standards for AI-accelerated delivery.
  • Drive architecture reviews, engineering excellence programs, and knowledge-sharing initiatives across the data engineering practice.
  • Stay current with emerging technologies, AI tooling, and cloud platform innovations and bring strategies to clients.

Desired Qualifications

  • Working knowledge of BI tools such as Power BI, Tableau, or Looker.
  • An analytical, AI-first, automation-forward mindset with a bias toward building future-proof solutions.

About the Company

Accordion

Finance-focused consulting with portfolio operations technology

Accordion partners with private equity firms to drive value creation through financial consulting services and portfolio operations technology. The core offering combines hands-on support in the Office of the CFO with a technology platform called Maestro, which institutionalizes a private equity firm’s approach to value creation across the finance function. How it works: a team of consultants works alongside sponsor management to execute initiatives across finance processes, using Maestro to standardize and scale the PE value-creation playbook. What sets Accordion apart: it is the only firm focused exclusively on the CFO function within private equity, pairing dedicated execution expertise with a proprietary platform that codifies portfolio operations best practices. Its goal is to help private equity sponsors achieve flawless execution across portfolios, shaping a new era in private equity through disciplined, measurable value creation.

Company size
1,001-5,000
Company stage
Pre-seed
Total funding
$25K
Headquarters
New York City, New York
Founded
2009

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