Senior Data Architect

Senior Data Architect / Lead Data Architect / Head of Data Platform

Reports to: CEO \| Type: Full-time, Jakarta

Tech/Tools: Decentriq, AWS Clean Rooms, GCP, Snowflake Data Clean Rooms, InfoSum, Habu

Mission: Own the KomoverseIQ data clean room — from retail POS and loyalty ingestion through privacy-preserving identity matching to the analytical layer that measurement runs on. You set the specification; external vendors build to it.

Responsibilities

Define \& document the target-state data architecture: ingestion contracts, warehouse schema, transformation layer, orchestration, and access control.

Own the clean room platform strategy and the migration from AWS Clean Rooms to Decentriq, including data collaboration agreements and query governance.

Design privacy-preserving identity resolution — hashing, salting, key management, match-rate methodology — and keep this capability in-house.

Direct \& technically govern the external data engineering partner: write specifications, review code, accept or reject deliverables, control scope.

Build \& enforce data quality, lineage, and audit controls sufficient to withstand a retailer or brand security and privacy review.

Partner with the Measurement Science Lead so that the platform serves the causal design, not the reverse.

Required Qualifications

7\+ years in data engineering, with at least 3 in an architect or lead capacity owning a platform end to end.

Deep AWS experience — S3, Glue, Redshift or Athena, IAM, KMS, VPC networking (Production experience, not certification-only).

Sensitive/regulated data work: hashing, tokenisation, pseudonymisation, key custody.

Strong SQL and Python; modern warehouse and transformation stack (dbt, Airflow or equivalent).

Track record of managing external engineering vendors or offshore teams to a written specification.

Indonesian data protection law working knowledge (UU PDP No. 27/2022) and its practical engineering implications.

Professional English, written and spoken.

Preferred

Direct experience with a data clean room platform (Decentriq, AWS Clean Rooms, Snowflake Data Clean Rooms, InfoSum, Habu).

National-scale data: retail, FMCG, banking, or telco.

Identity graph or customer data platform build experience.

What this role does not own: causal methodology and lift measurement design (Measurement Science Lead), commercial negotiation, game engineering.

Success at 6 months: documented and approved target architecture; Decentriq environment live with at least one production data source ingested end to end; identity matching logic owned in-house with a measured and reproducible match rate; vendor working strictly to your specification.

Bahasa Indonesia

Misi: Memiliki dan bertanggung jawab penuh atas arsitektur target data clean room KomoverseIQ — mulai dari ingestion data POS ritel dan loyalty, identity matching yang menjaga privasi, hingga lapisan analitik tempat pengukuran dijalankan. Anda yang menetapkan spesifikasi; vendor eksternal membangun sesuai spesifikasi tersebut.

Tanggung jawab:

Merancang dan mendokumentasikan arsitektur data target: kontrak ingestion, skema warehouse, lapisan transformasi, orkestrasi, dan kontrol akses.

Memimpin strategi platform clean room dan migrasi dari AWS Clean Rooms ke Decentriq, termasuk perjanjian kolaborasi data dan tata kelola query.

Merancang identity resolution yang menjaga privasi — hashing, salting, manajemen kunci, metodologi match rate — dan memastikan kapabilitas ini tetap dimiliki secara internal.

Mengarahkan dan mengawasi mitra data engineering eksternal secara teknis: menulis spesifikasi, melakukan review kode, menerima atau menolak deliverable, mengendalikan ruang lingkup.

Membangun dan menegakkan kontrol kualitas data, lineage, dan audit yang mampu lolos review keamanan dan privasi dari peritel maupun brand.

Bekerja sama dengan Measurement Science Lead agar platform mendukung desain kausal, bukan sebaliknya.

Kualifikasi wajib:

Pengalaman minimal 7 tahun di data engineering, dengan minimal 3 tahun sebagai architect atau lead yang memiliki tanggung jawab penuh atas sebuah platform.

Penguasaan mendalam AWS — S3, Glue, Redshift atau Athena, IAM, KMS, jaringan VPC (Pengalaman produksi nyata).

Pengalaman terbukti menangani data pribadi yang sensitif atau teregulasi: hashing, tokenisasi, pseudonimisasi, key custody.

SQL dan Python yang kuat; penguasaan modern warehouse dan transformation stack (dbt, Airflow atau setara).

Rekam jejak mengelola vendor engineering eksternal atau tim offshore berdasarkan spesifikasi tertulis.

Pemahaman kerja atas UU Perlindungan Data Pribadi (UU No. 27/2022) dan implikasi teknisnya.

Bahasa Inggris profesional, lisan dan tulisan.

Nilai tambah:

Pengalaman langsung dengan platform data clean room (Decentriq, AWS Clean Rooms, Snowflake Data Clean Rooms, InfoSum, Habu).

Pengalaman menangani data ritel, FMCG, perbankan, atau telko berskala nasional.

Pengalaman membangun identity graph atau customer data platform.

Di luar cakupan peran ini: metodologi kausal dan desain pengukuran lift (Measurement Science Lead), negosiasi komersial, game engineering.