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Data Architect

PublishedPublished: 6/14/2022
Technology

Job Description

Job Title: Data Architect

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Job Location: New York, NY (Hybrid)

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Duration: Full Time

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Job Description:

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We're looking for a hands-on Lead Data Architect to anchor the US side of a multi-year data platform modernisation for a leading global financial services client. The program moves on-premises Hadoop workloads to Snowflake. You'll own the target architecture, work with client stakeholders, guide an India-based delivery team through an AI-assisted migration approach, and help grow the account by identifying new opportunities and shaping solutions for them.

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What You'll Do

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- Define the target Snowflake architecture, including data models, layering, and ingestion and transformation patterns.

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- Lead assessment and design for Hadoop-to-Snowflake migrations, deciding which assets to migrate, re-engineer, archive or retire.

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- Guide conversion of Hive, Spark, Python and shell workloads to Snowflake SQL and Snowpark, using AI-assisted tools with clear review controls.

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- Set the validation approach: reconciliation, data-quality rules, parallel runs, cutover and rollback.

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- Work with client architecture, security and governance teams on access, retention and compliance decisions.

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- Identify new growth opportunities within the account, such as further migration domains, data platform and AI-enabled consumption initiatives, by building relationships with client architects and business stakeholders.

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- Recommend solutions and shape proposals for these opportunities, working with Altimetrik account, sales and delivery leadership on scope, approach, estimates and commercials.

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- Mentor engineers and support estimates, scope and risk management.

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What You Bring

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- 12+ years in data engineering and architecture, with 4+ years of hands-on Snowflake experience.

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- Proven Hadoop (Cloudera, Hive, Spark) to cloud data platform migration delivery.

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- Strong SQL, Python and Spark; working knowledge of Snowpark, orchestration and CI/CD for data pipelines.

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- Experience with data modeling, lineage and reconciliation in a regulated environment.

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- Experience leading distributed teams and presenting to senior client stakeholders.

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- Track record of solutioning and proposal development, including identifying client needs, framing solutions and contributing to winning new work.

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- Preferred: financial services background, generative AI tooling for code conversion, SnowPro Advanced Architect certification.

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